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Fault Detection System - List of Manufacturers, Suppliers, Companies and Products

Fault Detection System Product List

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Fault Detection System "Wi-Probe ACCEL&CLOUD"

Fault Detection System "Wi-Probe ACCEL&CLOUD"

Improving production efficiency through failure prediction and quality estimation!

Our fault detection system "Wi-Probe ACCEL&CLOUD" sends vibration data from equipment to the cloud, where it undergoes frequency analysis and learns normal patterns through machine learning. During diagnosis, we utilize the MT (Mahalanobis-Taguchi) method to predict failures and degradation, helping to improve production efficiency. <The fault prediction algorithm is jointly developed with Gunma University Graduate School of Science and Technology.> 【Features】 ■ Conducts spectrum analysis of vibrations to predict failures or estimate quality ■ Prediction and estimation results can be checked via a web browser ■ Utilizes machine learning to enhance production efficiency *For more details, please download the PDF or feel free to contact us.

  • Production Management System

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The difference between RPA and AI.

The difference between RPA and AI.

By combining AI and RPA, it becomes possible to automate tasks that were previously difficult to automate!

We will introduce the differences between "RPA" and "AI." RPA is a rule-based technology that automates business processes that have been defined according to specific rules. On the other hand, AI is a judgment-based technology that makes decisions and executes actions based on a vast amount of data. By combining AI and RPA, it becomes possible to automate tasks that were previously difficult, such as "enhancing product-specific demand forecasting accuracy" and "detecting failures in industrial machine parts" in the manufacturing industry. [Differences between RPA and AI] ■ What is RPA? - A rule-based technology that automates business processes defined according to specific rules - Handles "simple tasks" ■ What is AI? - A judgment-based technology that makes decisions and executes actions based on a vast amount of data - Handles "thinking tasks" *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis

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[MBD Case Study] Verification of ECU Fail Detection during Inverter Switch Failure

[MBD Case Study] Verification of ECU Fail Detection during Inverter Switch Failure

Verification of whether failure detection during inverter malfunction can be performed within the detection time (within 100 ms).

This document verifies whether a failure can be detected within 100 ms of the occurrence of an open fault in the U-phase upper arm. Failure detection is determined by extracting components of fourth order or higher from the current waveform using a high-pass filter. 【Contents】 ■ System Configuration ■ Controller Specifications ■ Motor Specifications ■ Verification Details ■ Verification Results ■ Discussion *For more details, please download the PDF or feel free to contact us.

  • Contract Inspection

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