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Diagnostic Systems Product List and Ranking from 32 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Jul 08, 2026～Aug 04, 2026
This ranking is based on the number of page views on our site.

Diagnostic Systems Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Jul 08, 2026～Aug 04, 2026
This ranking is based on the number of page views on our site.

  1. 新明工業 Aichi//Industrial Machinery
  2. 中電シーティーアイ 本社 Aichi//Service Industry
  3. 三共精機 本社 Kyoto//Trading company/Wholesale
  4. 4 null/null
  5. 5 JFEプラントエンジ Tokyo//others
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Diagnostic Systems Product ranking

Last Updated： Aggregation Period:Jul 08, 2026～Aug 04, 2026
This ranking is based on the number of page views on our site.

  1. Elderly Driver Assessment System "Satry" 新明工業
  2. Equipment Diagnosis System "V-Equipment" 中電シーティーアイ 本社
  3. Environmental Health Mite Diagnosis System "Mushi Mushi Detective Team Mite Series"
  4. 4 Rotating Machinery Vibration Diagnosis System (C-MAINS) JFEプラントエンジ
  5. 5 Beam Diagnosis System コヒレント・ジャパン 本社、大阪支店、厚木TEC

Diagnostic Systems Product List

31～54 item / All 54 items

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Health Checkup System "Momotaro"

Health Checkup System "Momotaro"

Introducing package software that supports various health checkups, including Association Health Insurance, National Health Insurance, and comprehensive medical checkups.

"Momotaro" is a health checkup system that supports direct operations related to health examinations, including reservation status, reservations, preparations, admission, input of test results, individual assessments, group assessments, comprehensive assessments, and report creation. It can also support management tasks such as front desk payments, receipt issuance, and billing to businesses. In addition to standard test items, it allows for the addition of optional tests and specification of tests not conducted. Furthermore, in the case of the Association Kenpo, the reduction of tests not conducted can be automatically calculated. 【Features】 ■ Supports direct operations of health examinations ■ Result reports for examinees can be freely formatted in Excel ■ In addition to standard test items, optional tests can be added and tests not conducted can be specified ■ Supports not only management of health examination reservations and tests but also billing management for companies and payment management ■ In the case of the Association Kenpo, the reduction of tests not conducted can be automatically calculated *For more details, please refer to the PDF materials or feel free to contact us.

  • Other core systems
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[Case Study Introduction] Equipment Prognostic Diagnosis System (Foresight)

[Case Study Introduction] Equipment Prognostic Diagnosis System (Foresight)

Introducing the process leading up to the implementation of the equipment anomaly diagnosis system!

Product PR 【Features】 ■Detects Remaining Life Calculates remaining life in operating hours based on vibration analysis trends and failure risk rates. ■Determines Failure Locations Can detect and identify abnormalities at the gear, shaft, and bearing levels. ■Diagnosis Starts with Short-Term Data Collection Diagnosis can begin with only about one day of normal operating data.

  • Analytical Equipment and Devices
  • Vibration Testing
  • Diagnostic Systems

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[Free Diagnosis] Palette Aptitude Diagnosis System

[Free Diagnosis] Palette Aptitude Diagnosis System

Industry first! We offer a free simple assessment of the suitability of palettes and operational environments.

We offer a free simple diagnosis of the suitability of your used pallets and operating environment. By selecting the pallet information you are currently using and the operational information of the pallets, you can check online whether the pallets are appropriate. If you are interested in functional improvements or cost reductions based on the diagnosis results, please feel free to contact us. ★Please confirm the following before starting the suitability diagnosis★ - Pallet size, weight, shape, etc. - Operating conditions (storage methods, load weight, etc.) *You can access the diagnosis from the URL below. https://www.fkp.co.jp/diagnosis

  • others
  • Diagnostic Systems

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Signboard Diagnosis System: Signboard Manager

Signboard Diagnosis System: Signboard Manager

Towards sustainable urban development with 'peace of mind and safety' and 'appropriateness' in outdoor advertising.

Trained inspectors will examine and diagnose your signs using various inspection equipment and patented inspection methods. Compared to regular visual inspections, the accuracy of the investigation is significantly higher, allowing for the early detection of deterioration and defects in the signs.

  • Other services
  • Diagnostic Systems

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Equipment Diagnosis System "V-Equipment"

Equipment Diagnosis System "V-Equipment"

Visualize state changes! Prevent equipment failures in advance with our "Vibration Autocorrelation Program."

"V-Equipment" is a facility diagnosis system that allows for quantitative assessment in a short time. It detects slight anomalies in factory equipment using retrofitted sensors, enabling the early identification and countermeasures for failures and damages as part of a predictive maintenance package. Additionally, we offer an "equipment diagnosis solution" that processes the data obtained from sensing to extract features. [Features] - Easy installation and measurement with a wireless system - Quantitative assessment in a short time - Visualization of state changes * The equipment diagnosis system "V-Equipment" is currently available from Tokai Techno Center Co., Ltd. * For more details, please download the PDF or feel free to contact us.

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  • 設備診断システム『V-Equipment』3.PNG
  • Software (middle, driver, security, etc.)
  • Diagnostic Systems

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KISMOS Valve Diagnosis System

KISMOS Valve Diagnosis System

Smart Monitoring System for Valve Prognostic Diagnosis

We utilize LOT and AI technology to contribute to solving issues with valves used in plants and factories, as well as the digital transformation of maintenance operations. By visualizing abnormalities in valves that cannot be detected by the naked eye, it becomes possible to establish appropriate maintenance timing. Our solution is compatible not only with KITZ valves but also with valves from other manufacturers.

  • Other measurement, recording and measuring instruments
  • Diagnostic Systems

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Automated Diagnostic System for Energy Equipment "Hayabusa"

Automated Diagnostic System for Energy Equipment "Hayabusa"

Data such as current, voltage, power temperature, and illuminance will be measured at intervals of a few minutes and recorded on the server.

We have succeeded in capturing and visualizing the way the energy we use in "Hayabusa" changes into various forms and disappears. This has enabled energy-saving methods and efficient maintenance through predictive analysis. By using sensors with wireless terminals, we can achieve this at a low cost. Since it operates on a web browser, there is no need to install software, and PCs and mobile phones can be used as terminals. Various sensors can be utilized, including current, power, temperature, humidity, and human presence. Because it operates on a web browser, no software installation is required. The server automatically analyzes the data, and if any abnormalities are detected, the details and location will be reported immediately via email. For more details, please download the catalog or contact us.

  • Integrated operation management
  • Other environmental analysis equipment
  • Diagnostic Systems

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Automated Diagnostic System for Construction Equipment "Hayabusa"

Automated Diagnostic System for Construction Equipment "Hayabusa"

Temperature, humidity, current, differential pressure, flow rate, CO2, noise, etc. are measured at intervals of a few minutes and recorded on the server.

We have succeeded in capturing and visualizing the way energy used in "Hayabusa" transforms into various forms and disappears. This has enabled energy-saving methods and efficient maintenance through predictive analysis. By using sensors with wireless terminals, it can be realized at a low cost. Since it operates on a web browser, no software installation is required, and PCs and mobile phones can be used as terminals. Various sensors such as current, power, temperature, humidity, and human presence can be utilized. Because it operates on a web browser, no software installation is necessary. The server automatically analyzes the data, and if any anomalies are detected, it immediately reports the details and location via email. For more information, please download the catalog or contact us.

  • Integrated operation management
  • Other environmental analysis equipment
  • Diagnostic Systems

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AI Anomaly Detection and Equipment Diagnosis System CX-D for the Steel Industry

AI Anomaly Detection and Equipment Diagnosis System CX-D for the Steel Industry

AI detects abnormalities in steel equipment, supporting predictive maintenance and improving operational efficiency.

In the steel industry, the stable operation of large and complex equipment is essential for maintaining productivity. In particular, equipment in harsh environments is prone to unexpected failures, which can directly lead to production line stoppages and a decline in product quality. Capturing early signs of equipment anomalies and conducting planned maintenance is key to stable operations and cost reduction. The AI anomaly detection and equipment diagnosis system CX-D strongly supports predictive maintenance by instantly detecting equipment abnormalities. 【Usage Scenarios】 - Monitoring abnormal signs of key equipment in steel plants (such as rolling mills and melting furnaces) - Reducing opportunity losses due to unexpected stoppages in production lines - Detecting changes in equipment conditions before quality defects occur - Streamlining regular inspections and optimizing maintenance plans 【Benefits of Implementation】 - Reducing the risk of production stoppages due to equipment failures - Achieving planned maintenance through predictive maintenance - Improving equipment operating rates and productivity - Reducing unexpected repair costs - Stabilizing product quality

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  • Other information systems
  • Diagnostic Systems

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AI Anomaly Detection and Equipment Diagnosis System for Semiconductors CX-D

AI Anomaly Detection and Equipment Diagnosis System for Semiconductors CX-D

To improve the yield in semiconductor manufacturing, AI instantly detects equipment anomalies.

In the semiconductor industry, as miniaturization and high integration progress, maintaining product quality and yield is extremely important. In particular, subtle abnormalities or changes in manufacturing processes can directly lead to the occurrence of defective products and may result in a decrease in yield. Early detection and response to these abnormalities are essential for improving production efficiency and reducing costs. The AI anomaly detection and equipment diagnosis system CX-D detects signs of equipment abnormalities in real-time and supports yield improvement. 【Usage Scenarios】 - Anomaly detection in semiconductor manufacturing equipment - Monitoring subtle equipment changes - Identifying causes of quality defects - Reducing the risk of yield decline 【Benefits of Implementation】 - Improved yield through reduction of defective products - Mitigation of unexpected equipment downtime - Enhanced production efficiency through quality stabilization - Optimization of equipment maintenance costs

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AI Anomaly Detection and Equipment Diagnosis System CX-D for the Food Industry

AI Anomaly Detection and Equipment Diagnosis System CX-D for the Food Industry

AI detects abnormalities in the food manufacturing line, supporting hygiene management and improving operational efficiency.

In the food industry, hygiene management on the manufacturing line is extremely important to ensure product safety. Minor changes in temperature, humidity, and foreign matter contamination can lead to a decline in product quality and an increased risk of food poisoning. To prevent these risks in advance and maintain a stable production system, it is necessary to quickly detect early signs of equipment abnormalities and respond promptly. The AI anomaly detection and equipment diagnosis system CX-D contributes to solving these challenges by continuously monitoring equipment data with AI and instantly detecting signs of anomalies. 【Usage Scenarios】 - Anomaly detection of temperature and humidity sensor data on the manufacturing line - Monitoring of equipment vibrations that could lead to foreign matter contamination - Real-time monitoring of the operational status of cleaning and sterilization equipment - Detection of fluctuations in equipment parameters that could cause quality defects 【Benefits of Implementation】 - Maintenance and improvement of hygiene management standards - Stabilization of product quality and reduction of defect rates - Prevention of production losses due to unexpected equipment downtime - Implementation of planned maintenance through predictive maintenance - Strengthening of compliance related to food safety

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Aerospace AI Anomaly Detection and Equipment Diagnosis System CX-D

Aerospace AI Anomaly Detection and Equipment Diagnosis System CX-D

To enhance safety in the aerospace field, AI instantly detects equipment anomalies.

In the aerospace field, extremely high safety standards are required, making abnormal detection and predictive maintenance essential. Particularly, even slight changes in precise manufacturing processes or operations can impact the safety and reliability of products. Therefore, it is crucial to capture early signs of equipment abnormalities to prevent troubles before they occur. The AI abnormal detection and equipment diagnosis system CX-D addresses these challenges by continuously monitoring equipment data with AI, instantly detecting anomalies to support enhanced safety and stable operations. 【Usage Scenarios】 - Abnormal detection in aircraft parts manufacturing lines - Operational monitoring of space equipment development and testing facilities - Reducing downtime through predictive maintenance of critical equipment - Identifying abnormal factors in quality control processes 【Benefits of Implementation】 - Reduction of risks associated with unexpected equipment shutdowns - Stabilization of product quality and improvement of reliability - Optimization of maintenance costs - Support for compliance with safety standards

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X-431 PAD JV

X-431 PAD JV

Horizontal X-431 Series Latest Interactive Diagnostic

The PAD JV is equipped with a comprehensive X431 app, capable of activating, coding, and calibrating electronic control domain diagnostics for over 40 manufacturer brands. To meet high technical requirements, it maintains constant communication and connects to the cloud to deliver the latest data to you. During diagnostic operations, it allows for the horizontal deployment of diagnostic information to vehicle owners via the internet, inquiries about maintenance information and key questions to our backend data, and the ability to send reports on requests and diagnostic deficiencies. It is packed with features including remote diagnostics utilizing remote functionality.

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Examples of predictive maintenance through data analysis in the manufacturing industry.

Examples of predictive maintenance through data analysis in the manufacturing industry.

Don't miss the signs and achieve zero post-incident response! Contribute to stable BCP measures with subsequent support.

This is an introduction to a predictive maintenance case study using data analysis in the manufacturing industry. Due to the fact that pipe damage has been addressed reactively, there is a need for preventive measures. We received a request to capture pipe damage or abnormalities in advance. Therefore, we implemented an equipment diagnostic system. We have become capable of detecting even slight signs of trouble, and we also provided support and advice for data collection, leading to increased efficiency. [Challenges] ■ We want to diagnose signs of trouble without missing even minor abnormalities. - Pipe damage has been addressed reactively, and we want to prevent it in advance. - There are dissatisfaction with the conventional data acquisition methods. *For more details, please download the PDF or feel free to contact us.

  • Environmental Analysis
  • Diagnostic Systems

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Automated Diagnostic System for Infrastructure Equipment "Hayabusa"

Automated Diagnostic System for Infrastructure Equipment "Hayabusa"

To measure the vibrations, expansion, and gaps of the structure, we will measure acceleration, tilt, and distance and record them on the server.

We have succeeded in capturing and visualizing the way energy used in "Hayabusa" transforms into various forms and eventually disappears. This has enabled energy-saving methods and efficient maintenance through predictive measures. By using sensors with wireless terminals, we can achieve this at a low cost. Since it operates on a web browser, no software installation is required, and PCs and mobile phones can be used as terminals. Various sensors can be utilized, including current, power, temperature, humidity, and motion detection. Because it operates on a web browser, no software installation is necessary. The server automatically analyzes the data, and if any abnormalities are detected, the details and location will be reported immediately via email. For more details, please download the catalog or contact us.

  • Integrated operation management
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  • Diagnostic Systems

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Automated Diagnostic System for Production Equipment "Hayabusa"

Automated Diagnostic System for Production Equipment "Hayabusa"

High-speed measurements at 100 times per second! It measures the instantaneous acceleration caused by the vibration of the equipment body and the fluctuating load before and after startup, and records it on the server!

We have succeeded in capturing and visualizing the way the energy we use in "Hayabusa" transforms into various forms and eventually dissipates. This has enabled energy-saving methods and efficient maintenance through predictive measures. By using sensors with wireless terminals, we can achieve this at a low cost. Since it operates on a web browser, there is no need to install software, and PCs and mobile phones can be used as terminals. Various sensors can be utilized, including current, power, temperature, humidity, and human presence sensors. Because it operates on a web browser, no software installation is required. The server automatically analyzes the data, and if any anomalies are detected, it immediately reports the details and location via email. For more details, please download the catalog or contact us.

  • Integrated operation management
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  • Diagnostic Systems

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Equipment Diagnostic System【Machine Diagnostic】

Equipment Diagnostic System【Machine Diagnostic】

Accurate analysis of equipment through dimensional and dimensionless analysis! Introducing our diagnostic system.

We would like to introduce our "Equipment Diagnosis System." By high-speed sampling of data and performing dimensional and non-dimensional analysis in both time and frequency domains, we accurately analyze the equipment. Please feel free to contact us when you need our services. 【Database】 ■ORACLE ■SQL-SERVER ■MS-ACCESS ■PERVASIVE ■InterBase ■Firebird *For more details, please refer to the PDF document or feel free to contact us.

  • Acoustic Analysis
  • Diagnostic Systems

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AI Anomaly Detection and Equipment Diagnosis System for Manufacturing Industry CX-D

AI Anomaly Detection and Equipment Diagnosis System for Manufacturing Industry CX-D

Supporting quality improvement in manufacturing with AI! Instantly detecting equipment anomalies.

In the manufacturing industry, it is essential to detect equipment abnormalities early to maintain product quality and ensure stable production, thereby preventing the occurrence of quality defects. In particular, overlooking the operational status of the production line and subtle changes in equipment can directly lead to an increase in defective products and a decrease in production efficiency. The AI anomaly detection and equipment diagnosis system CX-D contributes to the prevention of quality defects by having AI learn normal operational data of the equipment and detecting signs of abnormalities in real-time. 【Usage Scenarios】 - Investigating the causes of quality defects in the production line - Monitoring for signs of quality deterioration due to subtle changes in equipment - Rapid identification of causes and implementation of countermeasures when defects occur 【Benefits of Implementation】 - Improved yield due to reduced quality defects - Shortened time for identifying causes when defects occur - Maintenance of stable product quality

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AI Anomaly Detection and Equipment Diagnosis System CX-D for the Chemical Industry

AI Anomaly Detection and Equipment Diagnosis System CX-D for the Chemical Industry

AI continuously monitors the safety of chemical plants, instantly detects abnormalities, and achieves predictive maintenance and improved operational efficiency!

In the chemical industry, ensuring stable plant operations and employee safety is the top priority. Particularly in facilities that handle complex processes and hazardous materials, unexpected anomalies without warning pose risks that can lead to serious accidents or production halts. To mitigate these risks and maintain safe operations, it is essential to detect abnormal signs in equipment early and prevent issues before they arise. The AI anomaly detection and equipment diagnosis system CX-D was developed to meet the safety needs of the chemical industry. 【Usage Scenarios】 - Monitoring abnormal signs in key equipment at chemical plants - Reducing accident risks through anomaly detection in reactors, pumps, and piping - Early detection of equipment changes that could lead to quality issues - Ensuring employee safety and stable plant operations 【Benefits of Implementation】 - Reduced accident risks through early detection of equipment anomalies - Decreased production losses by preventing sudden equipment shutdowns - Achieving planned maintenance through predictive maintenance - Maintaining a safe operating environment and enhancing employee peace of mind

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AI Anomaly Detection and Equipment Diagnosis System CX-D for the Automotive Industry

AI Anomaly Detection and Equipment Diagnosis System CX-D for the Automotive Industry

AI detects abnormalities in the automobile production line and supports the improvement of production efficiency.

In the automotive industry, stable operation of production lines and high production efficiency are required. Unexpected equipment stoppages and quality defects directly lead to delays in production plans and increased costs, making it important to prevent these risks in advance. Continuous monitoring and anomaly detection using AI contribute to solving these challenges. The AI anomaly detection and equipment diagnosis system CX-D captures early signs of equipment anomalies and supports the prevention of sudden stoppages and quality degradation. 【Use Cases】 - Early detection of equipment anomalies in automotive parts manufacturing lines - Real-time monitoring of production line operating conditions - Identification and improvement of factors causing quality defects 【Benefits of Implementation】 - Reduction of production line downtime - Improvement of production efficiency - Stabilization of product quality

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AI Anomaly Detection and Equipment Diagnosis System CX-D for the Pharmaceutical Industry

AI Anomaly Detection and Equipment Diagnosis System CX-D for the Pharmaceutical Industry

Supporting quality assurance in the pharmaceutical industry with AI to achieve stable operations and quality improvement.

In the pharmaceutical industry, strict management of the manufacturing process is required to ensure the quality and safety of pharmaceuticals. In particular, abnormalities in manufacturing equipment can lead to a decline in product quality or a halt in the production line, making it crucial to detect signs of such issues early and prevent them from occurring from a quality assurance perspective. The AI anomaly detection and equipment diagnosis system CX-D learns from the normal operating data of the equipment and detects signs of abnormalities in real-time, thereby reducing the risk of unexpected equipment failures and quality defects, and contributing to the maintenance of a stable production system. 【Use Cases】 - Early detection of signs of equipment abnormalities on the production line - Continuous monitoring of the operating status of equipment related to quality - Identification of factors causing defects and utilization in improvement activities - Support for compliance with regulations in pharmaceutical manufacturing 【Benefits of Implementation】 - Reduction of downtime on the production line - Stabilization and improvement of product quality - Realization of planned maintenance through predictive maintenance - Increased efficiency in quality assurance operations

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AI Anomaly Detection and Equipment Diagnosis System for Plants CX-D

AI Anomaly Detection and Equipment Diagnosis System for Plants CX-D

AI continuously monitors plant equipment, instantly detects anomalies, and achieves predictive maintenance and improved operational rates!

In the plant industry, preventing production losses due to stable operation of equipment and unexpected shutdowns is considered crucial for business continuity. Particularly in plant equipment with complex structures, overlooking subtle signs of abnormalities can lead to the risk of large-scale failures or operational stoppages. Therefore, there is a demand for the introduction of predictive maintenance that detects equipment anomalies early and conducts planned maintenance. The AI anomaly detection and equipment diagnosis system CX-D supports the realization of predictive maintenance by automatically learning and monitoring abnormal signs of equipment through AI, addressing these challenges in plants. 【Usage Scenarios】 - Early detection of abnormal signs in plant equipment - Prevention of unexpected equipment shutdowns - Identification of factors causing quality defects - Optimization of equipment maintenance plans 【Benefits of Implementation】 - Reduction of production losses by preventing equipment troubles - Optimization of maintenance costs through predictive maintenance - Improvement of overall plant operational rates - Contribution to quality stabilization

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AI Anomaly Detection and Equipment Diagnosis System CX-D for Electricity and Gas

AI Anomaly Detection and Equipment Diagnosis System CX-D for Electricity and Gas

AI continuously monitors equipment data to instantly detect anomalies and ensure stable supply!

In the electricity and gas industry, the stable operation of infrastructure and continuous supply are extremely important. Unexpected equipment failures can have widespread effects and may cause serious problems in maintaining social infrastructure. Therefore, it is essential to detect abnormal signs in equipment early and prevent troubles before they occur. The AI anomaly detection and equipment diagnosis system CX-D continuously monitors equipment data with AI, instantly detecting signs of anomalies, thereby reducing the risk of sudden equipment failures and contributing to the maintenance of stable supply. [Usage Scenarios] - Monitoring abnormal signs in power generation equipment, substation equipment, and gas supply equipment - Rapid situation assessment through remote monitoring - Early detection of signs before equipment troubles occur [Benefits of Implementation] - Reduction of supply interruption risks due to equipment troubles - Maintenance of stable operation of infrastructure - Increased efficiency through planned maintenance

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