An Instantaneous Engine Speed Estimation Method Using Multiple Matching Synchrosqueezing Transform

Author:

Liu Youyong1ORCID,Wen He1ORCID,Ding Zongying2ORCID,Xu Lei2ORCID,Chen Hongjiang3ORCID,Smulko Janusz4ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, 410082 Hunan Province, China

2. Zhejiang Zheda Mingquan Technology Co., Ltd., Hangzhou, 310030 Zhejiang Province, China

3. Hunan Institute of Metrology and Testing, Changsha, 410205 Hunan Province, China

4. Gdansk University of Technology, ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland

Abstract

Instantaneous rotational speed measurement of the engine is crucial in routine inspection and maintenance of an automobile engine. Since the contact measurement of rotational speed is not always available, the vibration measurement has been used for noncontact rotational speed estimation methods. Unfortunately, the accuracy of the noncontact estimation methods by analyzing engine vibration frequency is not satisfactory due to the influence of noise and the strong nonstationary characteristic of the vibration signal. To overcome these problems, based on the multiple matching synchrosqueezing transform (MSST) (MMSST, improved MSST with multiple squeeze operations), a novel noncontact method is proposed to accurately estimate the instantaneous rotational speed of automobile engine in this paper. Firstly, a MMSST is proposed to process the vibration signal to obtain a concentrated time-frequency (TF) representation. Secondly, the instantaneous frequency (IF) detection algorithm is employed to extract the fundamental frequency from the TF result. Finally, the rotational speed of the engine is calculated according to the relationship between the fundamental frequency and rotational speed. Results from numerical simulations and test on real engine have proven that the proposed method can obtain much higher frequency resolution and more precise IF estimation of the engine vibration signal and more accurate rotational speed estimation result compared with the MSST method. Furthermore, the proposed method is verified to have a stronger noise robustness and can provide satisfactory estimation results for engine vibration signal containing nonlinear frequency-modulated components.

Funder

Natural Science Foundation of Hunan Province

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

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