A new style of maintenance AI predicts failure of machine parts Predictive maintenance System
A new style of maintenance AI predicts failure of machine parts Predictive maintenance System

AI predicts failure of machine parts
Predictive maintenance System

From ex-post maintenance and periodic maintenance to predictive maintenance. Predictive maintenance System

Life expectancy

AI

From ex-post maintenance and periodic maintenance to predictive maintenance.
Have you ever been in trouble because a motor suddenly broke down and production stopped?

In the predictive maintenance system, AI predicts the life of the motor and notifies you before it breaks down.
Predictive maintenance graph

In the predictive maintenance system, AI predicts the life of the motor and notifies you before it breaks down.
Predictive maintenance, in which the lifespan of equipment can be known in advance, allows the timing of replacement to be known in advance, allowing maintenance plans to be formulated in optimal conditions, thus significantly reducing maintenance costs.

Fully automated data collection and analysis with Komtrax Completely automated

data collection and analysis Completely automated

Fully automated data collection and analysis with Komtrax

Fully automated data collection and analysis with Komtrax
Sensor less,Cloud Server

The predictive maintenance system does not use any external sensors that pose a risk of failure.
Automatically collect servo control information of each motor via CNC and PLC and send it to the cloud from Komtrax communication terminal.
In the cloud, the degree of deterioration = remaining life is calculated by analyzing data collected from many machines.

Deteriorated parts are determined by a uniquely constructed AI model Deterioration part determination

Deterioration part determination

AI

Deteriorated parts are determined by a uniquely constructed AI model

By building an AI model in the cloud, it is possible to update the AI model timely and maintain and improve the judgment accuracy.
Analysis waveform,AI(machine learning),Accuracy of deteriorated parts

We have developed a unique AI model for judging deteriorated parts by collecting data from machines on the market at the time of deterioration and failure and having AI learn it.
Build an AI model in the cloud, read the data at the time of deterioration, and judge the deteriorated parts.
By building an AI model in the cloud, it is possible to update the AI model timely and maintain and improve the judgment accuracy.

Visualization of remaining lifespan Visualization of remaining life

the deterioration barometer List display

Visualization of remaining lifespan
Current Production:Predictive Maint.

The operation bulletin board of Sanki Komtrax displays a list of press lines for each factory and the deterioration barometer of the driving part of each press machine.
The blue color of the deterioration barometer decreases as deterioration progresses from the new state, allowing you to judge the deterioration state of the equipment at a glance.

Proposal of maintenance plan Maintenance plan proposal

maintenance review/maintenance planning Proposal

Notification by e-mail when a decrease in remaining life is detected

You can immediately consider maintenance by emailing the person in charge of maintenance.
Detects warning/abnormal level and sends email to maintenance personnel

An email is sent to the maintenance staff when the remaining service life drops to a warning level or an abnormal level.
The e-mail contains the remaining service life and the deteriorated parts determined by AI analysis, so maintenance can be considered immediately.

Further evolution of predictive maintenance systems Evolution of system

expand the target parts and machine Further evolution

Further evolution of predictive maintenance systems

We have gained a lot of experience since our market introduction in 2018, and are currently expanding the target areas and models.
Motor Bearing,Reducer,Timing belt,Die cushion ball screw

In 2018, the predictive maintenance system for servo motors of large servo presses has been introduced to the market , and have accumulated a good track record both in Japan and overseas. In 2023, expand the target parts and machine, to reducers, timing belts, die cushion ball screws, feeder devices, and small and medium-sized presses.

Predictive maintenance System

Case study Introduction example

Watch movie
Watch movie [Introduction to predictive maintenance collaborative efforts with Toyota Motor Corporation]

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