We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Predictive Maintenance.
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Predictive Maintenance Product List and Ranking from 11 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

Predictive Maintenance Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. MathWorks Japan Tokyo//IT/Telecommunications
  2. inQs 本社 Tokyo//Other manufacturing
  3. 公益社団法人日本プラントメンテナンス協会 Tokyo//Public interest/special/independent administrative agency
  4. 4 エル・エス・アイジャパン Tokyo//IT/Telecommunications
  5. 4 日立アカデミー Tokyo//Educational and Research Institutions
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Predictive Maintenance Product ranking

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. Remote predictive maintenance using retrofitted vibration sensors: "Add-on Vibration Sensing" inQs 本社
  2. Predictive Maintenance using MATLAB MathWorks Japan
  3. On-Demand Seminar: Introduction to Planned Maintenance 公益社団法人日本プラントメンテナンス協会
  4. [SOINN] Anomaly Detection and Predictive Maintenance AI SOINN
  5. 4 Predictive maintenance with "vibration detection sensor system" *Monitoring participants wanted. エル・エス・アイジャパン

Predictive Maintenance Product List

1～11 item / All 11 items

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IoT for heat treatment equipment! We propose predictive maintenance through data collection and remote monitoring.

IoT for heat treatment equipment! We propose predictive maintenance through data collection and remote monitoring.

"CRism" is an IoT system for heat treatment equipment. It allows you to set reference values and issue alerts for all data being collected.

"CRism" allows customers to set thresholds for all collected data, and notifications can be configured to be sent via common communication apps when these thresholds are exceeded. It visualizes various numerical data such as time-series data and batch data. 【Do you have any concerns with heat treatment equipment?】 - I want to manage the timing of part replacements to prevent troubles in advance. - I don't know the cause of the furnace shutdown. - I want to check the equipment status from anywhere. 【Features】 ■ Convenient "threshold setting function" ■ Capable of "diverse data analysis" ■ Visualizes various numerical data *For more details, please refer to the PDF document or feel free to contact us.

  • Industrial Furnace
  • Contract Inspection
  • Other production management systems

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Lubrication management is important for predictive maintenance.

Lubrication management is important for predictive maintenance.

Introduction to predictive maintenance in lubrication management, including observations through filtering!

There are three main types of maintenance: "corrective maintenance," "preventive maintenance," and "predictive maintenance." Lubrication management is important for "predictive maintenance," which involves regularly monitoring operating conditions to detect failures in advance. This document includes criteria such as 1. color (according to ASTM standards), 2. turbidity and sediment, and observations through filtering. [Contents] ■ Criteria 1. Color (according to ASTM standards) ■ Color 2. Turbidity and sediment ■ Observations through filtering ■ Items for simple analysis and management criteria 5. Filtered substances *For more details, please refer to the PDF document or feel free to contact us.

  • Other measurement, recording and measuring instruments
  • Lubricants
  • others

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Remote predictive maintenance using retrofitted vibration sensors: "Add-on Vibration Sensing"

Remote predictive maintenance using retrofitted vibration sensors: "Add-on Vibration Sensing"

Explosion-proof area Zone 1 compatible products! No need for power or network installation, ready for immediate use.

"Add-on Vibration Sensing" is a product designed for remote predictive maintenance using an aftermarket vibration sensor that can accommodate all volatile gases. It is compatible with IIC T6, allowing for the detection of gases such as hydrogen and acetylene. It is suitable for older equipment where sensor installation has not progressed, as well as auxiliary equipment in explosion-proof areas. Installation does not require power or network construction, allowing for immediate use. Remote failure monitoring of equipment can be conducted from a PC in the management room. 【Features】 ■ Products compatible with explosion-proof area Zone 1 ■ Capable of accommodating all volatile gases ■ Compatible with IIC T6, allowing for the detection of gases such as hydrogen and acetylene ■ Well-suited for older equipment where sensor installation has not progressed and auxiliary equipment in explosion-proof areas ■ Immediate use possible with installation that does not require power or network construction *For more details, please refer to the PDF document or feel free to contact us.

  • Sensors

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[SOINN] Anomaly Detection and Predictive Maintenance AI

[SOINN] Anomaly Detection and Predictive Maintenance AI

Output the anomaly level at each time point! It is possible to operate anomaly detection for short-term, medium-term, and long-term simultaneously.

We have started selling an AI module for anomaly detection and predictive maintenance, which has been highly regarded by global companies in Europe. It is very lightweight in terms of computation and can operate not only on the cloud and general-purpose PCs but also on microcontrollers, Raspberry Pi, and more. All additional learning and operations can be performed by the customer. If you have any questions or inquiries, please feel free to contact us. 【Features】 ■ Direct input of time-series sensor data ■ High-speed operation ■ Can be implemented on microcontrollers, Raspberry Pi, etc. ■ Starts with normal learning ■ Capable of identifying and presenting abnormal parameters *For more details, please refer to the PDF document or feel free to contact us.

  • Company：SOINN
  • Price：Other
  • Other information systems

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Vibration monitoring for rotating machinery, wireless monitor CU-30000 for predictive maintenance!

Vibration monitoring for rotating machinery, wireless monitor CU-30000 for predictive maintenance!

【Understand through video!】Constant monitoring tool for plant data 【Achieve IoT with simple installation and low cost】

The wireless compact monitoring unit "CU-30000" is an online monitoring unit designed for small to medium-sized and temporary applications, targeting vibrations and process data of rotating machinery operating in manufacturing plants. By adopting long-range wireless technology, it enables wide-area measurements and allows for high-precision management with simple operation. It reduces the need for wiring work and provides durable equipment suitable for industrial applications. With equipment configurations tailored to customer needs, it also offers excellent cost performance.

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  • Testing Equipment and Devices

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Predictive maintenance with "vibration detection sensor system" *Monitoring participants wanted.

Predictive maintenance with "vibration detection sensor system" *Monitoring participants wanted.

We are looking for companies that can participate as monitors for the commercialization of our developing "Vibration Detection Sensor System"!

The "vibration detection sensor" currently under development detects vibrations using built-in sensors and wirelessly transmits data indicating changes in equipment status to a higher level for acquisition. LSI Japan Co., Ltd. aims to simplify the process of understanding the appropriate maintenance timing for equipment by visualizing changes in vibration, and is seeking companies that can act as monitors for the commercialization of the sensor system. If you are interested in systems that monitor equipment status using sensors and predictive maintenance, please feel free to contact us. Customers who participate as monitors will receive a graph of the acquired clogging trend data. 【Patent】 We have obtained a patent for a method of detecting clogging based on the magnitude of vibrations that are proportional to and derived from the flow. Patent No. 5821067 "Clogging Estimation Method, Filter Monitoring System, and Vibration Information Transmission" *For more details, please contact us.

  • Sensors

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Predictive Maintenance using MATLAB

Predictive Maintenance using MATLAB

To enable the start of developing predictive maintenance algorithms, we will explain the terminology and introduce examples, tutorials, and trial software.

With the realization of "smart factories" through the AI x IoT transformation in the manufacturing industry, interest in predictive maintenance is growing daily. Predictive maintenance allows for the monitoring of equipment conditions to prevent future equipment failures. By using data from equipment sensors, it is possible to identify the root causes of failures and predict the time until failure using classification, regression, and time series analysis. It also helps in identifying complex machine issues and determining which parts need repair or replacement. This minimizes downtime and maximizes the lifespan of the equipment. This ebook provides explanations of terms, examples, tutorials, and access to trial software to help you get started with developing predictive maintenance algorithms using MATLAB.

  • Software (middle, driver, security, etc.)

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NVIDIA Certified Course: Predictive Maintenance Using AI [Online Training]

NVIDIA Certified Course: Predictive Maintenance Using AI [Online Training]

You will learn methods to identify anomalies and failures from time series data based on AI, as well as how to estimate the remaining useful life of the relevant parts.

■Goals - Using time series data, it is possible to predict outcomes with an XGBoost-based machine learning classification model. - By using an LSTM-based model, it is possible to predict equipment failures. - Utilizing anomaly detection with a time series autoencoder, it is possible to predict failures when limited failure case data is available. ■Target Audience System engineers and developers who develop and provide predictive maintenance systems in the industrial sector. ■Prerequisite Knowledge - Completion of the course "Introduction to Python from Scratch - Focusing on Data Analysis" or equivalent knowledge. - Completion of the course "NVIDIA Deep Learning Institute (DLI) Certified Course Fundamentals of Deep Learning" or equivalent knowledge.

  • Distance learning/E-learning

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What is predictive maintenance (anomaly-based maintenance)? Introducing the differences from preventive maintenance and the steps for implementation.

What is predictive maintenance (anomaly-based maintenance)? Introducing the differences from preventive maintenance and the steps for implementation.

Introducing the differences from preventive methods and the implementation steps using AI and IoT!

The losses caused by unexpected downtime due to sudden equipment failures on production lines are a significant challenge for the manufacturing industry. Veteran maintenance personnel may intuitively sense something is wrong from subtle changes in equipment sounds or vibration patterns. However, this valuable know-how is being lost with retirement. Moreover, traditional reactive maintenance that fixes equipment after it breaks down and preventive maintenance that involves regular parts replacement are becoming insufficient to fully grasp the condition of increasingly complex manufacturing equipment. This article summarizes practical information for those aiming to improve productivity in manufacturing sites, covering the basics of predictive maintenance, its benefits, and implementation methods. *For detailed content of the article, please refer to the link below.*

  • Internal Control and Operational Management

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On-Demand Seminar: Introduction to Planned Maintenance

On-Demand Seminar: Introduction to Planned Maintenance

The first step in learning about planned maintenance related to electrical preservation - Let's learn from the degradation mechanisms of electrical equipment essential for predictive maintenance.

●Overview and Objectives - You can learn from scratch about the degradation mechanisms of electrical equipment, which are essential for predictive maintenance, based on case studies. - It is also ideal as the first step in learning about planned maintenance related to electrical maintenance.

  • Management Seminar

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What is preventive maintenance? Differences from corrective maintenance and predictive maintenance using IoT.

What is preventive maintenance? Differences from corrective maintenance and predictive maintenance using IoT.

I will explain the difference between preventive maintenance and corrective maintenance, as well as predictive maintenance using IoT.

In manufacturing sites, various equipment and machines operate daily. To manage these and achieve stable operation, appropriate maintenance activities are essential. Maintenance activities include preventive maintenance and corrective maintenance, but in recent years, "predictive maintenance" utilizing IoT has also been adopted. This article explains the differences between preventive maintenance and corrective maintenance for properly managing equipment and machines in manufacturing sites, as well as predictive maintenance using IoT. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

  • Other information systems

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