Non-contact predictive diagnosis of electrical equipment failures and deterioration [Presentation of case studies on the introduction of harmonic diagnosis]
Diagnosis of harmonics from the 2nd to the 40th order! Diagnosing abnormalities and deterioration in motors, machinery, inverters, power transformers, and capacitors! Case studies available!
"Failure Degradation Prediction Diagnosis" is a predictive maintenance system conducted through harmonic diagnosis. Using harmonic diagnosis (KS-2000), abnormalities and degradation in motors, machinery, inverters, power transformers, and capacitors can be diagnosed. This document introduces a case study of harmonic diagnosis at M Corporation's Niigata factory. It includes the motivation for introducing harmonic diagnosis technology, equipment specifications, current measurement values, and more. Additionally, it presents diagnostic results from the motor winding section and rotor/stator parts as part of the disassembly verification. Images of the compressor burn damage are also included. We encourage you to read it. [Contents (partial)] ■ Motivation for introducing harmonic diagnosis technology ■ Compressor burn damage status ■ Motor winding burn damage status ■ Enlarged photos of rare short sections ■ Harmonic diagnosis case study 1 *For more details, please refer to the PDF document or feel free to contact us.
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【Features】 ■ Non-contact live line diagnosis Investigations can be conducted without stopping equipment. It is also possible to investigate deterioration symptoms (overheating, discharge phenomena, leakage current, etc.) that can only be measured in a live state. ■ Diagnosis of mechanical and electrical systems This diagnostic device utilizes sensing technology to understand the condition of equipment and analytical technology to predict abnormalities, analyzing and diagnosing current and the "harmonics" within it in detail, quantifying and evaluating the results. ■ Diagnostic result report The acquired harmonic components are comprehensively evaluated along with the diagnosis results for four locations in the motor section, four locations in the load section, and four locations in the inverter section, providing A, B1, B2, B3, and C judgment imbalance rates. ■ Fault deterioration prediction and forecast curve By conducting regular diagnostics, it enables the creation of a fault prediction deterioration forecast curve, contributing to the extension of the lifespan of equipment. 【Verification Results Case】 <Diagnostic Results> Winding insulation C, current diagnosis B2, indicating a trend of initial insulation deterioration in the winding. <Disassembly Verification> Due to overheating, the varnish was thin, and it was on the verge of a rare short circuit. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Since our establishment, we have consistently engaged in the development of measurement and control systems, and with the technical expertise we have cultivated over many years, we will always propose systems that satisfy our customers.