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Embedded system solution (C controller)

Bearing deterioration diagnosis

Quantitative diagnosis of deterioration state is possible Easy data analysis processing such as FFT * 1 calculation

Overview

Abnormal vibration data is detected when the ball (rolling element) comes into contact with the inner or outer ring due to damage to the bearing. This data is sampled from a vibration sensor (acceleration pickup sensor) at high speed with the MELSEC iQ-R series high-speed analog-to-digital conversion unit (up to 5 μs cycle), and the collected vibration data is subjected to frequency analysis (FFT analysis) using a C language controller. . Condition-based maintenance that quantitatively grasps and predicts the deterioration state of the equipment and replaces, repairs, or updates parts before the equipment stops can be performed. It reduces the failure rate, improves equipment reliability, and reduces maintenance costs.

* 1. Fast Fourier Transform: A process that converts time-axis data to frequency-axis data at high speed in order to calculate which frequency components are included in the collected data.

System configuration