S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Monitoring of Valve Gap in Diesel Engine Based on Vibration Response Feature Extraction [PDF]

Chaoming Huang, Jie Li, Xin Wang, Jianbin Liao, Hongliang Yu, Chih-Cheng Chen, and Kun-Ching Wang

(Received December 31, 2020; Accepted March 24, 2021)

Keywords: diesel engine valve clearance, vibration feature extraction, time-frequency image, image segmentation

To evaluate the working state of a diesel valve by vibration response signal analysis and carry out fault diagnosis, a method is proposed to resolve the problem of how to effectively extract the vibrational characteristic parameters of the valve seat from a nonstationary vibration signal on the surface of a diesel engine by using local wave decomposition and reconstruction technology, continuous wavelet transform (CWT) time spectrum images, and image processing technology. The difference in the energy distribution characteristics of the vibration signal time and frequency domains of the diesel engine is enhanced by the local wave decomposition-reconstruction analysis method, the time spectrum map of the reconstructed signal is drawn by using the CWT, the vibration characteristics and corresponding features are extracted by image segmentation technology, and the intrinsic relationship between the gas valve gap and the gas valve landing shock vibration characteristics is discussed. Gas valve clearance status identification and the diagnostic basis function are established, and the quantitative monitoring of the air valve clearance of the diesel engine and the fault diagnosis of abnormal gas valve clearance are realized.

Corresponding author: Kun-Ching Wang




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