Work

A novel tacholess order tracking method for planetary gearbox fault detection under variable rotational speed conditions

Year: 2025

Type: article

Abstract: A novel tacholess order tracking method based on improved ACMD and adaptive CYCBD is proposed for detecting planetary gearbox single and compound fault. Firstly, the IACMD is utilized to adaptively decompose the fault signal, which constructs a composite index (CI)-based signal mode selection and recombination scheme to perform optimal modal decomposition. Secondly, the IDMM trend with obvious amplitude advantage is extracted from the time-frequency representation of the original signal, and then equivalented to the shaft rotation frequency to perform angle domain resampling on sensitive model. Thirdly, the adaptive CYCBD is applied to deconvolute the angular domain sensitive modal to heighten the weak fault signatures. Finally, envelope order spectrum of the enhanced signals is employed to extract fault characteristic frequencies and identify different type damage. Both numerical simulations and practical engineering data in different planetary gearbox failure cases have been conducted to verify the correctness and feasibility of the proposed approach.

Source: Measurement Science and Technology

DOI: 10.1088/1361-6501/adba7c

Authors: Chaoge Wang, Ran Wang, Yuanyuan Huang, Lijun Wang, Hongkun Li

Institutions: Shanghai Maritime University, North China University of Water Resources and Electric Power, Dalian University of Technology

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Award: G1595547393