Advanced Signal Processing Methods for Condition Monitoring

Abstract Condition monitoring of induction motors (IM) among with the predictive maintenance concept are currently most promising research topics manufacturing industry. Production efficiency is an important parameter every plant since it directly influences final price products. This article presents a comprehensive overview conditional techniques, along classification techniques and advanced signal processing techniques. Compared methods either based on measurement electrical quantities or nonelectrical that processed by briefly compares individual summarize results achieved different teams. Our own testbed introduced in discussion section plans for future dataset creation. According to comparison, Wavelet Transform (WT) Empirical Mode Decomposition (EMD), Principal Component Analysis (PCA) Park’s Vector Approach (PVA) provides interesting real deployment could be used experiments.