Genetic Algorithm & Fuzzy Logic-based Condition Monitoring of Induction Motor Through Estimated Motor Losses

ABSTRACT

In this paper, a novel approach for condition and performance monitoring of induction motor through estimated motor losses is proposed and explained. The novelty in the proposed approach is minimal non-intrusive measurements and does not require disconnection of motors from the load. In many systems, the losses measured directly or indirectly in a motor are of the lump sum in nature. The main advantage of the system prescribed in this paper gives losses in the segregated form, which is directly used to assess the internal condition of the motor. This approach will assess the condition of induction motors for internal faults such as stator faults, rotor faults, core faults, bearings faults, etc. The equivalent circuit parameters and motor losses are estimated using the developed Genetic Algorithm (GA). The estimated motor loss data are compared with the NEMA & IE Standards and if any deviation found will be reported as faults. The reported information is linked to the developed fuzzy algorithm to identify the faults exactly along with its severity level. The proposed approach was tested and evaluated with the help of LT motors ranging from 5 to 200 HP in real-time from a selected industry.

KEYWORDS:

• Condition monitoring
• Equivalent circuit method
• Fault diagnosis
• Fuzzy logic
• Genetic algorithm
• IE & NEMA class
• Induction motor
• Loss distribution
• Loss estimation
• Performance monitoring

Acknowledgements

The author would like to extend gratitude to Prof. M.A. Pannerselvam, (Retd) and Prof B Umamaheswari, Anna University, Chennai, India for evaluating the results and reviewing a draft of this paper.

Additional information

Funding

The presented work was developed as part of the research project funded by IDP-Department of Science & Technology, New Delhi, India [grant number IDP/IND/21/2015].

Notes on contributors

G. S. Ayyappan

G S Ayyappan received BE degree in electrical & electronics engineering from Anna University, Chennai, India and ME degree in electronics & control engineering from Sathyabama University, Chennai, Tamilnadu, India. Currently, he is pursuing his PhD degree with the dissertation title Study and exploration of Condition Monitoring of Induction Machines on Continuous Operation from Academy of Scientific & Innovative Research (AcSIR) at CECRI-Karaikudi, Tamilnadu, India. He is working with CSIR-Central Scientific Instruments Organisation (CSIO) as principal scientist. He has got a research experience of more than 29 years. Also, he is an associate professor at the Academy of Scientific & Innovative Research (AcSIR). He has 18 publications in the reputed journals and presented over 30 papers in various international and national conferences.

B. Ramesh Babu

B. Ramesh Babu obtained his BE degree in mechanical engineering from Coimbatore Institute of Technology, Coimbatore, India and later his PhD in metallurgical engineering from Banaras Hindu University, Varanasi. Presently, he is working with CSIR-Central Electro-Chemical Research Laboratory (CSIR-CECRI), Karaikudi, India as chief scientist. He is the coordinator of the Academy of Scientific & Innovative Research (AcSIR) at CECRI, Karaikudi. He is holding the position of dean, Centre for Education in the same institute. He has 26 publications in international and 12 publications in national journals respectively. He has presented papers in 17 international conferences & 15 national conferences. Email: [email protected]

M. Raja Raghavan

M Raja Raghavan obtained his BE degree in electronics and instrumentation engineering from Jeppiaar Engineering College, Anna University, Chennai, India, and an ME degree in control & instrumentation engineering from Easwari Engineering College, Anna University, Chennai, India. He is also pursuing his PhD at Anna University, Chennai. Presently he is working as Scientist at CSIR-CSIO Chennai Centre, Chennai. He has published more than 7 papers in leading journals and presented more than 8 papers in the international & national conferences. Email: [email protected]

R. Poonthalir

R. Poonthalir obtained her BE degree in electronics and communication engineering from Kamaraj College of Engineering and Technology, Virudhunagar, India, and an ME degree in embedded system technologies from the College of Engineering, Guindy Campus, Anna University, Chennai, India. She has published 5 papers in leading journals and presented more than 6 papers in the international /national conferences. Email: [email protected]