Overview of Diagnostic Methods for Rotating Electrical Machines

Djagarov, Nikolay; Enchev, Georgi; Grozdev, Zhivko; Djagarova, Julia

doi:10.1109/eeae49144.2020.9279018

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…There is new research and development on REM which makes them more and more relevant to our lives. The diagnostic methods for REM were classified and reviewed in Djagarov, et al, (2020). Frosini, (2020) reviewed the current methods of diagnosis of Electrical Machines.…”

Section: Related Studiesmentioning

confidence: 99%

“…Fault Diagnosis consists of filtering, preprocessing, feature extraction and pattern recognition (Djagarov, et al, 2020). Protecting critical Machines against failure is vital for improved availability of Machines in industrial settings leading to reduced maintenance costs (Alshorman, et al, 2020)…”

Section: Trend In Fault Diagnosismentioning

confidence: 99%

“…The Adaptive Neural Fuzzy Inference System (ANFIS) was reported by Djagarov, et al, (2020) as a new method for monitoring faults in electric machine bearings. A new trend in the estimation of the operating temperature of the Stator, Rotor, Winding and Yoke of Permanent Magnet Synchronous Motors is by applying the deep recurrent convolution Neural Networks (Kirchgässner, Wallscheid, & Böcker, 2021).…”

Section: Trends In Control and Condition Monitoringmentioning

confidence: 99%

See 2 more Smart Citations

Rotating Electrical Machines: Types, Applications and Recent Advances

Sule

2023

ejtas

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The Rotating Electrical Machines (REMs) are classified into Motors and Generators. They powered the industrial, domestic and commercial loads. Because of their importance. This paper discussed different types of REMs, their applications and recent advances. REMs are applied in Teaching, Domestic, Mechatronics, Motorcycle, Three-wheelers, Electric Vehicle, Healthcare, Flywheel Energy Storage and Wind Energy Conversion Systems. It periscopes the advances of REMs in design, Fault diagnostic, control and condition monitoring. Its significance is to shed light on some advances made in REM.

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Section: Related Studiesmentioning

confidence: 99%

Section: Trend In Fault Diagnosismentioning

confidence: 99%