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Abstract
Condition monitoring is a technique of sensing the health of electrical machines. Analysis of the monitoring data quantifies the condition of the machine, so that faults can be detected and diagnosed at the incipient stage itself. Machine vibrations are known to carry information on most of the faults. Vibration response measurements yield a great deal of information concerning faults within rotating machines. Studies show that bearings are the major contributors to an onset of a fault. The aim of this paper is to compare the variations of a time domain signal of machine vibrations when the bearing is (a) healthy (fault free), (b) having a fault in the outer race, and (c) having a fault in the inner race. The statistical approach is used to investigate and classify the faults. The well-known frequency domain analysis is carried out to verify results of the statistical analysis. The proposed analysis technique implies a clear indication of the changes that occur even when a fault is at an incipient stage.
Additional information
Notes on contributors
Hina A. Khwaja
Khwaja Hina Ahmad received the B. Engg. (Honours) degree in Electrical and Electronics Engineering from the Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria, in 1992, and proceeded for M. Engg. (Honours) degree from the same institute but unfortunately, when only her thesis was remaining she had to quit and return to India due to her father’s terminal illness. Eventually, she received the MSc Electronics degree with first division from Jamia Millia University (JMI), New Delhi, in 2000. Presently, she is pursuing her PhD from IIT Roorkee.
She joined in 1992 as an Assistant Lecturer, the Federal Polytechnic Bauchi (FPTB), Bauchi State of Nigeria, and worked for about 3 years (1992–1995). Progressively, she joined as a Guest Lecturer, the Department of Applied Sciences and Humanities, JMI, New Delhi, in 2000–2003. Finally, before joining IIT Roorkee, she was appointed as a Lecturer in Department of Applied Sciences and Humanities, JMI, New Delhi (2003–2004).
The professional experiences include the training at Ministry of Defence (R and D Organization), SSPL, New Delhi, in 1999.
She received the Best Female Student in Engineering Award, ATBU, Nigeria, and a merit certificate for securing first division from JMI, New Delhi, 2000.
She has supervised one first degree thesis. Her area of interest includes signal processing and fault diagnostic of electrical machines.
E-mail: [email protected]
S. P. Gupta
S. P. Gupta received his B Sc Engg. in Electrical Engineering in 1971 from Engineering College Dayalbagh, Agra, in first division, ME from University of Roorkee in 1973 with specialization in Electrical Machines, in first division, and first position in PhD from University of Roorkee, on StaticKramer Drive in 1986.
He also worked with Jyoti Limited, Baroda, for about 2 years (1973–1975) in its R and D centre as Asstt. Development Engineer and was responsible for designing high-voltage induction motors operatable directly from 3.3 kV, 6.6 kV, or 11 kV three-phase mains. He joined the University of Roorkee as Lecturer in the Electrical Engineering Department in June 1976 on a temporary position, and got promotion as Reader in 1982 and as Professor in 1994. He was Head of Electrical Engineering Department, IIT Roorkee, for 3 years from 2006 to 2008. He has also worked on many administrative positions at IIT Roorkee.
In 1989, he was selected for a Commonwealth award to do post-doctoral research at University of Bristol, UK, for 10 months. He worked with Professor S. R. Bowes on Optimal PWM Techniques for Inverter-Fed AC Drives. In 1990-1991, Dr. Gupta did teaching and research as Associate Professor at University of Puerto Rico (USA), Electrical and Computer Engineering Department. In addition, Dr. Gupta has traveled to China, Singapore, and Switzerland for delivering lectures.
He is a recipient of best paper awards from the Institution of Engineers (India) in 2005 and 2008. He has so far guided six PhDs and has published 53 research papers. He worked on three sponsored research projects funded by AICTE, DST, and MHRD. The last two projects were concerned with the development of experimental facilities in a new area of intelligent online condition monitoring of rotating electrical machines in the Electrical Engineering Department.
He is a member of IEEE, fellow of Institution of Engineers (India), and Life Member of the Indian Society of Technical Education.
E-mail: [email protected]
Vinod Kumar
Vinod Kumar received his school education at Ludhaina, Engineering degree from Punjab Engineering College, Chandi garh, M Tech and Ph D from I I T Roorkee (erstwhile University of Roorkee). He is professor and head of Electrical Engineering Department of IIT Roorkee. He has many academic awards, distinctions, and scholarships to his credit including the Khosla Research Awards of University of Roorkee, the Corps of Engineers Prize: Institution of Engineers (I) 2008, First IETE-R S Khandpur Medical Instrumentation Gold Medal in recognition of life time achievements and outstanding contribution in the field of biomedical instrumentation, 2006, Railways Board Award for the best paper on vibration analysis by IE (I) 2006, KS Krishna Memorial Award of IETE, the Brij Mohanlal Award of IE (I), best paper certificates of Awards of IE (I) etc. He has been recognized as an excellent performer of IIT Roorkee for the last 5 years, after UOR has been converted to IIT Roorkee.
He is the best teacher awardee of IIT Roorkee. Professor Vinod Kumar has about 150 research papers to his credit in the area of medical instrumentation and signal processing. He has guided 17 PhDs, 90 M. Tech. dissertations, and more than 150 B. Tech. projects in the area of medical instrumentation and digital signal and image processing.
He has held many positions in IIT Roorkee administration, i.e., Head Continuing Education Centre, Coordinator QIP Centre, Head, Information Super Highway Centre, Associate Dean Academic, chair person of many committees and is the member of academic committees of many educational institutions and councils in India.
He has taken care of more than 75 assignments as a consultant in diverse fields which include development of instruments, signal processing packages, residual life assessment of power plants, and e-governance. He has 33 years of rich experience of teaching and research. He is a life fellow of IETE and IE (I) and is a senior member of IEEE. His areas of interest are medical instrumentation, digital signal processing, telemedicine, and e-governance.
E-mail: [email protected]
