EEMD and THT Based Gearbox Fault Detection and Diagnosis
نویسنده
چکیده
A novel approach to fault detection and diagnosis of gearbox based on Ensemble Empirical Mode Decomposition (EEMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. The time-domain vibration signal of the gearbox with gear crack fault is measured. EEMD can adaptively decompose the vibration signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM) Intrinsic Mode Functions (IMFs) without mode mixing. TKEO can track the modulation energy of the Intrinsic Mode Functions (IMFs) and estimates the instantaneous amplitude and instantaneous frequency. Then the Teager-Huang transform (THT) spectrum of the vibration signal can be obtained. Therefore, the character of the gear crack fault can be recognized according to the THT spectrum. The effectiveness of this approach is evaluated by using simulation signal and vibration signals measured in a gearbox. The results demonstrate that EEMD and THT are suited for capturing transient events such as the propagation of structural fault in a gear, thus providing a viable signal processing tool for gearbox fault detection. The Teager-Huang transform (THT) has better resolution than that of Hilbert-Huang transform (HHT).
منابع مشابه
Non-contact incipient fault diagnosis method of fixed-axis gearbox based on CEEMDAN
Gearbox plays most essential role in the modern machinery for transmitting the required torque along with motion and contributes to wide range of applications. Any failure in gearbox components affects the productivity and efficiency of the system. Most machine breakdowns related to gears are a result of improper operating conditions and loading, hence lead to failure of the whole mechanism. En...
متن کاملMachine building Gearbox Fault Diagnosis Based on EEMD-SVD
Gearbox is an important mechanical device to transmit power. In order to ensure the normal operation of gearbox under the condition of top load, high efficiency and high precision, it’s necessary to extract fault feature information using signal processing method and to further analyze and research gearbox fault. In the paper an improved de-noising method based on de-noising of singular value d...
متن کاملWind Turbine Gearbox Fault Diagnosis Based on Improved EEMD and Hilbert Square Demodulation
The rapid expansion of wind farms has accelerated research into improving the reliability of wind turbines to reduce operational and maintenance costs. A critical component in wind turbine drive-trains is the gearbox, which is prone to different types of failures due to long-term operation under tough environments, variable speeds and alternating loads. To detect gearbox fault early, a method i...
متن کاملUsing Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...
متن کاملA Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کامل