Estimation of the Defect Width on the Outer Race of a Rolling Element Bearing under Time‐Varying Speed Conditions

Abstract

Fault diagnosis and failure prognostics for rolling element bearing are helpful for preventing equipment failure and predicting the remaining useful life (RUL) to avoid catastrophic failure. Spall size is an important fault feature for RUL prediction, and most research work has focused on estimating the fault size under constant speed conditions. However, estimation of the defect width under time-varying speed conditions is still a challenge. In this paper, a method is proposed to solve this problem. To enhance the entry and exit events, the edited cepstrum is used to remove the determined components. The preprocessed signal is resampled from the time domain to the angular domain to eliminate the effect of speed variation and measure the defect size of a rolling element bearing on outer race. Next, the transient impulse components are extracted by local mean decomposition. The entry and exit points when the roller passes over the defect width on the outer race were identified by further processing the extracted signal with time-frequency analysis based on the continuous wavelet transform. The defect size can be calculated with the angle duration, which is measured from the identified entry and exit points. The proposed method was validated experimentally.

Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation

“…e purpose was to optimise the problem of feature singularity in the original 1D domain by describing details such as the point, line, image colour, or cross boundary. In this HSMSF study, the high-dimensional mapping of data samples has five conversion modes: time domain (TD), continuous wavelet transform (CWT), time-frequency domain [13], Gramian angular field [14], Markov transition field (MTF) [15], and recurrence plot field (RPF) [16].…”

“…(9) end for (10) for each producer j � (N * PD) + 1 to N do (11) Update the location of the scroungers via ( 8). (12) end for (13) Use the elite reverse strategy to reverse solution and update outstanding individual via ( 23) and ( 24 erefore, in the process of type label assignment, the same fault types at different motor speeds and loads under the background of signal data were given the same type label. According to the standard, ten faults with different severities in the rolling element, inner raceway, and outer raceway of the driving-end rolling bearing were studied for sensors with different sources on the driving-end and fan-end bearing seats.…”

Size estimation of spall-like fault on rolling element bearing using an integrated approach incorporating total variation regularization and singular spectrum analysis

“…Medvedovsky et al [12] in their study proposed the use of a strain measurement sensor called a fibre Bragg grating sensor for estimation of spall size of the REB. Hou and Lee [13] proposed a methodology of estimation of spall-like fault sizes for bearings with variable speed of rotation using a local mean decomposition method. Kang et al [14] developed an approach for detection of non-penetrating localized faults in a taper roller bearing outer race (OR).…”

Discrete Cosine Transformation and Temporal Adjacent Convolutional Neural Network-Based Remaining Useful Life Estimation of Bearings

“…With the in-depth development of information theory, artificial intelligence (AI) technology, known as one of the three cutting-edge technologies of the 21st century, has been proved to be more suitable for solving the performance degradation state tracking and failure prediction of complex equipment [19][20][21]. e advanced deep learning algorithms can effectively analyse a large amount of data and establish the mapping relationship between data and features.…”