Share Email Print
cover

Proceedings Paper

Rotor damage detection by using piezoelectric impedance
Author(s): Y. Qin; Y. Tao; Y. F. Mao
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Rotor is a core component of rotary machinery. Once the rotor has the damage, it may lead to a major accident. Thus the quantitative rotor damage detection method based on piezoelectric impedance is studied in this paper. With the governing equation of piezoelectric transducer (PZT) in a cylindrical coordinate, the displacement along the radius direction is derived. The charge of PZT is calculated by the electric displacement. Then, by the use of the obtained displacement and charge, an analytic piezoelectric impedance model of the rotor is built. Given the circular boundary condition of a rotor, annular elements are used as the analyzed objects and spectral element method is used to set up the damage detection model. The Electro-Mechanical (E/M) coupled impedance expression of an undamaged rotor is deduced with the application of a low-cost impedance test circuit. A Taylor expansion method is used to obtain the approximate E/M coupled impedance expression for the damaged rotor. After obtaining the difference between the undamaged and damaged rotor impedance, a rotor damage detection method is proposed. This method can directly calculate the change of bending stiffness of the structural elements, it follows that the rotor damage can be effectively detected. Finally, a preset damage configuration is used for the numerical simulation. The result shows that the quantitative damage detection algorithm based on spectral element method and piezoelectric impedance proposed in this paper can identify the location and the severity of the damaged rotor accurately.

Paper Details

Date Published: 1 April 2016
PDF: 10 pages
Proc. SPIE 9805, Health Monitoring of Structural and Biological Systems 2016, 98052O (1 April 2016); doi: 10.1117/12.2218814
Show Author Affiliations
Y. Qin, Chongqing Univ. (China)
Y. Tao, Chongqing Univ. (China)
Y. F. Mao, Chongqing Univ. (China)


Published in SPIE Proceedings Vol. 9805:
Health Monitoring of Structural and Biological Systems 2016
Tribikram Kundu, Editor(s)

© SPIE. Terms of Use
Back to Top