Diagnosis and monitoring of an induction motor with bearing fault

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Date

2023-07-16

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University of M'sila

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In conclusion , this chapter examined the use of the discrete wavelet transform (DWT) on realworld data, showing the potential of this technique. We were able to evaluate the usefulness of DWT in detecting bearing problems early on by translating real-world information. The fundamental goal of our research was to get valuable insights into machine behavior during operation and to investigate novel techniques to monitoring and diagnostics. We have provided the groundwork for additional research and developments in the sector with this chapter, opening the way for improved maintenance procedures and improved industrial system performance.

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