Authors: Xu Wang, Aleksandar Subic
Addresses: School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Bundoora, Victoria 3083, Australia. ' School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Bundoora, Victoria 3083, Australia
Abstract: A good correlation between subjective evaluation and objective test is a key for any machine condition monitoring and fault diagnosis process. This paper proposes a statistical envelope analysis approach for product quality control where Fourier spectrum is selected as diagnosis analysis characteristics. The acceptance amplitude envelope is statistically calculated from the measured random spectrum data of a large number of subjectively good samples. A product is then assessed by comparison of its measured spectrum data to the acceptance envelope. If the spectrum amplitude stays within the envelope, the product is accepted as good one, otherwise it is rejected. The statistical envelope analysis approach has been validated by diagnosis test examples of power fold (PF) actuators. Based on the correlation of objective tests and subjective evaluations of given samples, the diagnosis methodology illustrated in this paper is applicable to other products for noise diagnosis and quality control.
Keywords: statistical envelope analysis; vehicle vibration; vehicle noise; sound quality; power fold actuator; subjective evaluation; machine condition monitoring; fault diagnosis; product quality control; Fourier spectrum; acceptance amplitude envelope.
International Journal of Vehicle Noise and Vibration, 2010 Vol.6 No.2/3/4, pp.91 - 104
Available online: 05 Nov 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article