Predictive maintenance techniques

Author

Lu, Bin ; Durocher, David B. ; Stemper, Peter

Author_Institution

Eaton Corp. Innovation Center in Milwaukee, Milwaukee, WI, USA

Volume

15

Issue

6

fYear

2009

Firstpage

52

Lastpage

60

Abstract

This article discusses the importance of PdM for industrial process applications and investigates a number of emerging technologies that enable this approach, including online energy-efficiency evaluation and continuous condition monitoring. The article gives an overview of existing and future technologies that can be used in these areas. Two methods for bearing fault detection and energy-efficiency estimation are discussed. The article concludes with focus on one pilot installation at Weyerhaeuser´s Containerboard Packaging Plant in Manitowoc, Wisconsin, USA, monitoring three critical induction motors: a 75-hrho blower motor, a 50-hrho hydraulic pump motor, and a 200-hp compressor motor. Finally, the field experience gained in this plant is presented as two case studies.

Keywords

condition monitoring; induction motors; industrial plants; machine bearings; maintenance engineering; production facilities; reliability; Containerboard Packaging Plant; bearing fault detection; blower motor; compressor motor; continuous condition monitoring; hydraulic pump motor; induction motors; online energy-efficiency evaluation; predictive maintenance; Costs; Distributed control; Electric motors; Electrical equipment industry; Energy efficiency; Induction motors; Inspection; Job shop scheduling; Monitoring; Predictive maintenance;

fLanguage

English

Journal_Title

Industry Applications Magazine, IEEE

Publisher

ieee

ISSN

1077-2618

Type

jour

DOI

10.1109/MIAS.2009.934444

Filename

5233378