Title :
Diagnostics and prognostics for multiple induction machines using a single set of current transducers
Author :
Parikh, Prayag K. ; Cox, Robert W. ; Sawyer, Rebecca L. ; Shrestha, Arun ; Anderson, Jason M.
Author_Institution :
Dept. of Electr. & Comput. Eng., UNC Charlotte, Charlotte, NC
Abstract :
This paper describes a field-tested technique that uses aggregate current measurements to detect faults in multiple induction machines. This new approach reduces costs and potentially increases reliability. The paper begins with a description of the field-tested system. It then describes three analytical techniques that have been applied to aggregate data in order to identify faults. The paper uses specific examples taken from applications in power plants and shipboard environments.
Keywords :
asynchronous machines; condition monitoring; electric current measurement; fault diagnosis; power plants; NILM; aggregate current measurements; condition monitoring; current transducers; machine fault; multiple induction machines; nonintrusive load monitor; power plants; shipboard environment; Aggregates; Computerized monitoring; Condition monitoring; Costs; Current measurement; Fault detection; Induction machines; Industrial plants; Power generation; Transducers;
Conference_Titel :
Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-4251-5
Electronic_ISBN :
978-1-4244-4252-2
DOI :
10.1109/IEMDC.2009.5075349