[Development Case] Predictive Maintenance System
By using various analysis methods, we improve accuracy! Here are examples of development in the measurement field.
We will introduce a case study of a measurement and analysis system that collects production information obtained from equipment to predict equipment failure signs and quality degradation signs. Based on the input information, analysis is performed using FFT (Fast Fourier Transform) and MT (Mahalanobis-Taguchi Method). After implementation, we improved accuracy by using various analysis methods, moving from a simple threshold (such as upper and lower limits) judgment method. 【Case Overview】 ■Industry: Manufacturing ■Field: Measurement Field ■Development Environment ・PLC: KEYENCE PLC (KV Series) ・Touch Panel: KEYENCE VT Series ・Peripheral Equipment: KEYENCE Measuring Instruments, MELSEC PLC *For more details, please refer to the PDF document or feel free to contact us.
basic information
【Introduction Effects】 ■ Improved accuracy by using various analytical methods instead of simple threshold (upper and lower limits) judgment methods. ■ By predicting rather than just reporting results (such as deterioration/abnormalities), problems can be detected in advance. ■ Successfully quantified subjective information by accumulating diverse production data and organizing the timeline. *For more details, please refer to the PDF document or feel free to contact us.
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Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
