CONFERENCE PROCEEDINGS
Advanced Search >
Home > Proceedings > Volume 10172 > Article
10 April 2017 Electromechanical impedance-based fault detection in a rotating machine by using an operating condition compensation approach
K. M. Tsuruta; D. S. Rabelo; C. G. Guimarães; A. A. Cavalini; R. M. Finzi Neto; V. Steffen
Author Affiliations +
Proceedings Volume 10172, A Tribute Conference Honoring Daniel Inman; 1017206 (2017) https://doi.org/10.1117/12.2258227
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States
Abstract
The electromechanical impedance is a condition-based maintenance (CBM) methodology that uses sensors network to evaluate health condition of mechanical systems. Piezoelectric transducers are used as sensors and actuators to damage detection. Such approach monitors changes in the electric impedance of piezoelectric transducers that are bonded to the host structure. Normally the evaluation of the impedance responses is performed by using damage metrics, which permit to quantify the influence of damage. This is possible since the sensor electrical impedance is directly related to the mechanical impedance of the structure. However, the frequency response functions (FRFs) resulting from this method are susceptible to environmental and operational conditions that must be accounted for in order to avoid false diagnostics. Thus, the aim of this paper relies on the correct detection of incipient faults in rotating shafts under operating condition by using a real-time Impedance-based Structural Health Monitoring (ISHM) method. For this purpose, a data normalization procedure for compensation of changes in environmental and operating conditions is used to minimize changes in impedance signatures resulting from these external influences. Changes on dynamic load result from altering the rotation speed and unbalance level, while temperature changes stem from daily room temperature variations. The compensation technique is based on a hybrid optimization method associated with a given damage metrics. Additionally, a statistical model is used for threshold determination based on the Statistical Process Control (SPC) method. Experimental results show that an incipient damage associated with temperature and dynamic loads effects could be successfully detected with a probability of detection above 95 % confidence for the majority of the sensors used.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
K. M. Tsuruta, K. M. Tsuruta, D. S. Rabelo, D. S. Rabelo, C. G. Guimarães, C. G. Guimarães, A. A. Cavalini, A. A. Cavalini, R. M. Finzi Neto, R. M. Finzi Neto, V. Steffen, V. Steffen, } "Electromechanical impedance-based fault detection in a rotating machine by using an operating condition compensation approach", Proc. SPIE 10172, A Tribute Conference Honoring Daniel Inman, 1017206 (10 April 2017); doi: 10.1117/12.2258227; https://doi.org/10.1117/12.2258227
ACCESS THE FULL ARTICLE
PERSONAL SIGN IN
Full access may be available with your subscription
 
Forgot your username?
Forgot your password?
No SPIE account? Create an account
or Institutional Sign In via Shibboleth
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $14.40
Non-members: $18.00 ADD TO CART
PROCEEDINGS
 17 PAGES + PRESENTATION
DOWNLOAD PDF + SAVE TO MY LIBRARY
WATCH
PRESENTATION
SHARE
GET CITATION
< Previous Article
|
Next Article >
KEYWORDS
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top