Title :
Intelligent motors moving to the forefront of predictive maintenance
Author :
O´Kane, Matthew M. ; Sander, Michael J.
Author_Institution :
US Electr. Motors, St. Louis, MO, USA
Abstract :
This paper presents the technological advancements of imbedded 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 online monitoring of critical motor components as well as operating conditions. In today´s global economy, the need to decrease operating expenses and to increase profitability sets the stage for the emergence of intelligent motors.
Keywords :
computerised monitoring; failure analysis; induction motors; machine testing; maintenance engineering; power engineering computing; reliability; critical motor components; imbedded sensors; induction motors; intelligent motors; microprocessors; motor failure prediction; online monitoring; operating conditions; predictive maintenance; technological advancements; AC motors; Condition monitoring; Failure analysis; Induction motors; Intelligent sensors; Machinery; Predictive maintenance; Profitability; Reliability theory; Vibrations;
Conference_Titel :
Pulp and Paper, 1999. Industry Technical Conference Record of 1999 Annual
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-7803-5526-1
DOI :
10.1109/PAPCON.1999.779358