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Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review
Electric motors are used extensively in numerous industries, and their failure can result not only in machine damage but also a slew of other issues, such as financial loss, injuries, etc. As a result, there is a significant scope to use robust fault diagnosis technology. In recent years, interesting research results on fault diagnosis for electric motors have been documented. Deep learning in the fault detection of electric equipment has shown comparatively better results than traditionaldoi:10.3390/en14217017 fatcat:fac5wki2tnabbpxgcsu4lm4kku