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Equipment diagnostic system Product List and Ranking from 5 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.

Equipment diagnostic system 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. 中電シーティーアイ 本社 Aichi//Service Industry
  2. 三共精機 本社 Kyoto//Trading company/Wholesale
  3. JFEアドバンテック 計測診断事業部 Hyogo//Testing, Analysis and Measurement
  4. 4 ネクストテクノロジー 広島本社 Hiroshima//Testing, Analysis and Measurement
  5. 5 金陵電機 Osaka//Industrial Electrical Equipment
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Equipment diagnostic system 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. Equipment Diagnosis System "V-Equipment" 中電シーティーアイ 本社
  2. Aerospace AI Anomaly Detection and Equipment Diagnosis System CX-D 三共精機 本社
  3. AI Anomaly Detection and Equipment Diagnosis System for Semiconductors CX-D 三共精機 本社
  4. 4 Online Equipment Diagnosis System Super CMS-10000 JFEアドバンテック 計測診断事業部
  5. 4 AI Anomaly Detection and Equipment Diagnosis System CX-D for the Steel Industry 三共精機 本社

Equipment diagnostic system Product List

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Online Equipment Diagnosis System Super CMS-10000

Online Equipment Diagnosis System Super CMS-10000

We will achieve the optimization of equipment management, responding to the efficiency of production and the improvement of quality.

This is a system for quantifying the condition of factory equipment and detecting anomalies. It contributes to maintenance and production activities as an essential item for improving equipment utilization rates, enhancing quality, and optimizing maintenance costs. 【2010 TPM Excellent Product Award Winner】 ⇒ For more details, please download the catalog. Alternatively, we can provide you with detailed specifications! Please contact us.

  • Other measurement, recording and measuring instruments
  • Equipment diagnostic system

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[Perfect for the oil and chemical industry!] Online equipment diagnostic system

[Perfect for the oil and chemical industry!] Online equipment diagnostic system

Easy installation, easy operation, and remote monitoring of equipment at a low price. Ideal for small-scale monitoring, test installations, and equipment with changing layouts.

The "Compact Monitoring Unit CU-10000" allows for remote monitoring of equipment data, including vibration diagnostics with 16 points of vibration, 8 points of analog voltage, and 8 points of voltage-free contacts, all in one unit. It enables easy installation, simple operation, and cost-effective online monitoring of equipment data. It is ideal for small-scale monitoring, test installations, and equipment with changing layouts. For additional features and details, please download the catalog. Alternatively, we can provide you with a detailed specification sheet! Please contact us.

  • Other measurement, recording and measuring instruments
  • Equipment diagnostic system

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Benefits of wireless technology: Reduced maintenance costs for signal and power cables.

Benefits of wireless technology: Reduced maintenance costs for signal and power cables.

Regular inspections and replacement work for signal cables are no longer necessary! Cost reduction and improved operational efficiency can be achieved!

By wireless-ifying the factory equipment, maintenance of signal cables and power cables will no longer be necessary. This addresses the concern of "the hassle and high costs associated with maintaining cables for wired equipment, leading to reactive measures." The following items represent the costs associated with cable management, which will be improved through wireless technology: [Overview] ■ Labor costs for checking for cable disconnections, damage, or fatigue ■ Labor costs for cable replacement ■ Costs for new cables if cables are replaced ■ Opportunity losses due to work stoppage during cable replacement ■ Risks of unexpected work stoppages due to internal cable disconnections that cannot be detected through visual inspection *For more details, please refer to the external link page or feel free to contact us.

  • Wireless LAN
  • Other contract services
  • Embedded system design service
  • Equipment diagnostic system

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AI Anomaly Detection and Equipment Diagnosis System CX-D

AI Anomaly Detection and Equipment Diagnosis System CX-D

AI continuously monitors equipment data, instantly detects anomalies, and achieves predictive maintenance and improved operational efficiency!

CX-D is an equipment diagnostic system that realizes data collection, visualization, AI anomaly detection, and condition diagnosis all in one device. ■ AI automatically detects signs of equipment anomalies The AI automatically learns from data during normal operation and monitors changes and signs of anomalies in real-time, contributing to the prevention of unexpected shutdowns and quality defects. ■ Easy implementation without programming It can connect to various equipment such as PLCs, robots, sensors, and NC machine tools. It can be implemented without the need for program development. ■ Visualization of equipment status The real-time dashboard visualizes equipment conditions and operational status. It can be accessed from a web browser, allowing for monitoring from both the field and the office. ■ Supports predictive maintenance and quality improvement In addition to monitoring signs of equipment failure, it can also be used for analyzing causes of defects and diagnosing equipment conditions. It enables simultaneous promotion of equipment maintenance and quality improvement. If you are considering improving equipment maintenance efficiency or implementing predictive maintenance, please feel free to contact us.

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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.

  • 設備診断システム『V-Equipment』2.PNG
  • 設備診断システム『V-Equipment』3.PNG
  • Software (middle, driver, security, etc.)
  • Equipment diagnostic system

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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
  • Equipment diagnostic system

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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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  • Other information systems
  • Equipment diagnostic system

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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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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
  • Equipment diagnostic system

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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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