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According to characteristics of Metal Magnetic Memory in crack propagation of ferromagnetic materials, relative entropy of wavelet energy of MMM signals is proposed to characterize fatigue crack propagation based on the characteristics of time-frequency localization of wavelet transform and information entropy reflecting the uncertainties of source information. The relative entropy of wavelet energy...
This study proposes the method which is used for roller bearing feature extraction of local mean decomposition (LMD) and multi-scale entropy (MSE). LMD is firstly applied to decompose the measured vibration signal into a series of product functions (PFs), and then MSE is used to extract the feature vectors from the selected PF component. Lastly, the obtained feature vectors of roller bearing with...
This paper proposes an improved method for DBN, by means of introducing the detachment rate. The introduction of detachment rate can play a similar average role, and can make the complex relationship between the neurons weakened, so that DBN learning has stronger robustness. Three kinds of data (corresponding to healthy, faulted and deteriorating) were classified by the improved depth belief network...
Gearboxes are important parts of mechanical transmission systems, so that it is very pivotal for avoiding future catastrophic failures to detect faults in gearboxes at the early stage. Various vibration analysis techniques have been proposed and successfully applied to detect faults in gearboxes. The outputs of these techniques are used to identify the signal changes caused by defects. Because of...
This paper introduces a new idea of bearing fault diagnosis, which is to use the Multipoint Optimal Minimum Entropy Deconvolution Adjusted (MOMEDA) Technique to filter the vibration signal, getting the output signal and directly to do spectral analysis, then to observe the fault characteristics for fault diagnosis. MOMEDA technique is an improved MED algorithm proposed by McDonald in 2016, which can...
Tacking of testability growth test (TGT) is an assurance of the orderly development of TGT. This paper, a testability growth tracking model based on Expected Bayesian method which under entropy loss function is studied in view of the lack of existing testability growth model and the subjective tracking of testability index. Firstly, the multi-layer prior distribution of the fault detection rate (FDR)...
This paper presents a new approach for machine health monitoring based on the C0 complexity, which is an alternative nonlinear statistical measure that can quantify the regularity of a time series. Firstly, we give a brief introduction of C0 complexity and discuss the parameter r. After that, two run-to-failure bearing vibration data are presented to verify the performance of C0 complexity. Comparisons...
In allusion to performance degradation condition recognition issue for rolling bearing, a method based on improved pattern spectrum entropy (abbreviated as IPSE) and fuzzy C-means algorithm (abbreviated as FCM) is proposed in this paper. In the course of performance degradation feature extraction, morphological corrosion operator is introduced and IPSE is proposed as the degradation feature parameter...
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