Vibration feature evolution of locomotive with tooth root crack propagation of gear transmission system. (15th January 2019)

• Record Type: Journal Article
• Authors: Chen, Zaigang; Zhai, Wanming; Wang, Kaiyun
• Is Part Of: Mechanical systems and signal processing. Volume 115(2019)
• Page Start: 29
• Page End: 44
• Publication Date: 2019-01-15
• Subjects: Tooth crack -- Gear mesh stiffness -- Train -- Fault vibration characteristic -- Rail irregularity; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2018.05.038
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: A locomotive–track coupled dynamics model with gear tooth root crack is established. Feature extraction in frequency domain after angular synchronous average is proposed. Vibration feature evolution as gear tooth root crack propagation is revealed. Sensitivity of statistical indicators and components to gear tooth crack is analyzed. Abstract: As the prompt development of modern railway transportation towards high-speed and high load-capacity, the high-power locomotive is urgently required. Under this situation, the wheel–rail dynamic interaction is becoming more and more intensified which will deteriorate the vibration condition of the key elements of locomotive, such as the gear transmissions. Once gear failures are present, such as gear tooth crack or breakage, it is likely to threaten the operation safety of the locomotive. Thus, deep insight into the fault features of the locomotive gear transmission is urgently necessary for prevention of the induced disastrous consequences. This paper is concentrated on the fault vibration feature extraction of a locomotive in presence of gear tooth root crack under the complicated dynamic excitations from both the gear transmissions and the nonlinear wheel–rail interactions. The locomotive–track coupled dynamics model considering the dynamic effect of the mechanical power transmission path is employed, and the time-varying mesh stiffness of the gear pair with tooth root crack fault and the rail geometric irregularities are then incorporated into the dynamics model to obtain the vibration responses. Then, angular synchronous average technique is proposed to enhance the fault vibration features, and the statistical indicators extracted in frequency domain are developed to reveal the evolution law for the crack propagation scenarios along crack depth or tooth width. The analyzed results indicate that the angular synchronous average technique could effectively reveal the fault vibration feature, and the M8A in the selected statistical indicators is most sensitive to the tooth crack propagation in frequency domain.