Title :
Current-Based Detection of Mechanical Unbalance in an Induction Machine Using Spectral Kurtosis With Reference
Author :
Fournier, Etienne ; Picot, Antoine ; Regnier, Jeremi ; Yamdeu, Mathias Tientcheu ; Andrejak, Jean-Marie ; Maussion, Pascal
Author_Institution :
Leroy Somer, Angouleme, France
Abstract :
This paper explores the design, online, of an electrical machine´s healthy reference by means of statistical tools. The definition of a healthy reference enables the computation of normalized fault indicators whose value is independent of the system´s characteristics. This is a great advantage when diagnosing a broad range of systems with different power, coupling, inertia, load, etc. In this paper, an original method called spectral kurtosis with reference is presented to design a system´s healthy reference. Its principle is first explained on a synthetic signal. This approach is then evaluated for mechanical unbalance detection in an induction machine using the stator current instantaneous frequency. The normalized behavior of the proposed indicator is then confirmed for different operating conditions, and its robustness with respect to load variations is demonstrated. Finally, the advantages of using a statistical indicator based on a healthy reference compared with a raw fault signature are discussed.
Keywords :
asynchronous machines; condition monitoring; electric current measurement; fault diagnosis; statistical analysis; stators; condition monitoring; current-based detection; electrical machine; induction machine; mechanical unbalance detection; normalized fault indicators; raw fault signature; spectral kurtosis with reference; statistical tools; stator current instantaneous frequency; synthetic signal; system characteristics; system healthy reference design; Harmonic analysis; Induction machines; Iron; Monitoring; Protocols; Random variables; Stators; Condition monitoring; fault diagnosis; healthy reference; induction motor; instantaneous frequency (IF); mechanical unbalance; normalized fault indicator; spectral kurtosis; statistics;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2014.2341561