Instantaneous power factor signature analysis for efficient fault diagnosis in inverter fed three phased induction motors

Author:

Akar Mehmet,Gercekcioglu Harun SerhatORCID

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference20 articles.

1. Detection of static eccentricity for permanent magnet synchronous motors using the coherence analysis;Akar;Turkish J Elect Eng Comput Sci,2010

2. An approach to improve energy performance of electric vehicle: theoretical evaluation of electric motor winding heat capacity and electrical resistivity using Debye and Bloch-Gruneisen approximations;Dogan;Int J Hydrogen Energy,2016

3. Approach signal for rotor fault detection in induction motors;Kechida;J Fail Anal Prev,2013

4. Induction motor fault diagnosis based on neuro predictors and wavelet signal processing;Kim;IEEE/ASME Trans Mechatron,2002

5. A new motor fault detection method using multiple window S-method time-frequency analysis;Liu,2012

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1. Fault diagnosis models based on feature/sample transfer components;Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis;2024

2. On the Behaviour of an AC Induction Motor as Sensor for Condition Monitoring of Driven Rotary Machines;Sensors;2023-01-02

3. Fault Diagnosis in a Three-phase Induction Motor Using Enhanced Park Vector Approach;2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON);2022-04-17

4. A Comparative Study of Current, Vibration and Stray Magnetic Flux Based Detection for Parallel Misalignment Fault in Induction Motors;2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED);2021-08-22

5. Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review;Mechanical Systems and Signal Processing;2020-10

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