Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems

Fault Tolerant Control of Single and Multiple Mobile Robots.- Faults and Fault Detection Methods in Electric Drives.- Introduction to Condition Monitoring of Wide Area Monitoring (WAM) System.- Introduction to Condition Monitoring of Electrical Systems.- Condition Monitoring and Fault Detection and Diagnostics of Wind Energy Conversion System (WECS).- Introduction to Condition Monitoring of PV system.- Novel Application of Artificial Neural Network techniques for Prediction of Air Pollutants using Stochastic Variables for Health Monitoring: A review.- Performance Enhancement and Extension of DGA Based Transformer Fault Diagnosis Methods Using Soft-computing Techniques.- Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers.- Data Driven Intelligent Model for Sales Prices Prediction and Monitoring of a Building.- Experimental Study of Sideband Harmonics in Vibration Spectrum of two Stage Planetary Gear Box for Condition Monitoring.

Hasmat Malik (M'16) received Diploma in Electrical Engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech. degree in electrical and electronics engineering from the GGSIP University, Delhi, M.Tech. degree in electrical engineering from National Institute of Technology (NIT), Hamirpur, Himachal Pradesh, and Ph.D. in power system from Electrical Engineering Department, Indian Institute of Technology (IIT) Delhi, India. He is currently a Postdoctoral Scholar at BEARS, University Town, NUS Campus, Singapore, and an Assistant Professor (on leave) at Division of Instrumentation and Control Engineering, Netaji Subhas University of Technology, Delhi, India. He is a Life Member of Indian Society for Technical Education (ISTE), Institution of Electronics and Telecommunication Engineering (IETE), International Association of Engineers, Hong Kong (IAENG), International Society for Research and Development, London (ISRD), and Member of the Institute of Electrical and Electronics Engineers (IEEE), USA, and MIR Labs, Asia. He has published more than 100 research articles, including papers in international journals, conferences, and book chapters. He is a Guest Editor of Special Issue of Journal of Intelligent & Fuzzy Systems, 2018. (SCI, Impact Factor 2019:1.637), (IOS Press). He received the POSOCO Power System Award (PPSA-2017) for his Ph.D. work for research and innovation in the area of power system. He has received best research papers awards at IEEE INDICON-2015, and full registration fee at IEEE SSD-2012 (Germany). His principle areas of research interests are artificial intelligence, machine learning and big data analytics for smart building & automation, condition monitoring and online fault detection & diagnosis (FDD).