Large equipment condition monitoring based on reference power curve fitting by multi-sensors fusion

Abstract

For large equipment, not only itself, the workpieces are also usually large and expensive. Therefore, online monitoring plays an important role in reducing equipment downtime costs, improving reliability and protecting the production operation. In this paper, a novel condition monitoring method for large equipment based on reference power curve fitting by multi-sensors fusion is proposed. This condition monitoring system can monitor the operation status and can generate alerts once the improper operation occurred. Firstly, the basic principle of the method is described briefly. And then, the fundamentals of establishment of reference power curve are introduced. Next, the data processing model and fault prediction method are discussed in detail. Finally, the feasibility of this method is demonstrated via a case of large machine tool. © 2011 Springer-Verlag.