Title :
Intelligent motors moving to the forefront of predictive maintenance
Author_Institution :
US Electr. Motors, St. Louis, MO
Abstract :
This paper presents the technological advancements of embedded sensors and microprocessors into AC induction motors and their ability to predict failure. Today, maintenance departments utilize several stand-alone technologies to detect and predict motor failure such as vibration and flux analysis. Intelligent motors now integrate multiple technologies that enable continuous monitoring of critical motor components as well as operating conditions. In today´s global economy, the need to increase profitability while decreasing operating expenses sets the stage for the emergence of intelligent motors
Keywords :
computerised monitoring; electric machine analysis computing; failure analysis; induction motors; intelligent sensors; maintenance engineering; microcomputer applications; vibration measurement; AC induction motors; continuous monitoring; critical motor components monitoring; diagnostics software; embedded microprocessors; embedded sensors; failure prediction; flux analysis; global economy; hazardous events; intelligent motors; operating conditions; predictive maintenance; profitability increase; reliability based maintenance; vibration analysis; AC motors; Condition monitoring; Failure analysis; Induction motors; Intelligent sensors; Microprocessors; Predictive maintenance; Profitability; Reliability theory; Thermal stresses;
Conference_Titel :
Petroleum and Chemical Industry Conference, 2000. Record of Conference Papers. Industry Applications Society 47th Annual
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-6334-5
DOI :
10.1109/PCICON.2000.882778