Modeling and Fault Size Estimation for Non-Penetrating Damage in the Outer Raceway of Tapered Roller Bearing

Kang, Wei; Zhu, Yan; Yan, Ke; Liu, Yuwei; Gao, Dawei; Ren, Zhijun

doi:10.3390/machines10070516

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…where D and d correspond, respectively, to the pitch circle diameter and roller diameter estimated from the bearing geometry. The cage rotation frequency can be obtained from equation (14):…”

Section: Spall Size Identification Using Tvr-ssamentioning

confidence: 99%

“…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). The use of a deep learning-based adaptive neural-fuzzy structure technique via a support vector autoregressive Laguerre model for bearing fault pattern recognition and crack size identification was proposed by Piltan et al [15].…”

Section: Introductionmentioning

confidence: 99%

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

Patel¹,

Bhojawala²,

Patel³

2022

Meas. Sci. Technol.

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Spalling in rolling element bearing is a common localized defect generated during the operation of bearing due to rolling fatigue. Size estimation of such localized defect can be helpful in determining severity of the fault. This further can be used as an input for predicting the remaining useful life of the bearing. The popular approach for estimating the size (in terms of width) of spall is to trace the entry and exit events of rolling element while interacting with the fault. The time estimated between entry and exit of rolling element from pit like spall can be converted to the geometric estimation is the fault size from vibration signature. The present approach demonstrates the use of Singular Spectrum Analysis (SSA) to accomplish the task. The vibration signals generated from the interaction of rolling element with the localized fault is a hybrid signal consisting of low frequency stepped response generated while the rolling element enters the fault and is superimposed on to the high frequency impact generated during the reentry of the rolling element in to the raceway from the spall. The signal information is enhanced via preprocessing the signal with Total Variance Regularization (TVR) filtration. The informative signal, which is extracted from the row temporal signal via SSA, aids in the accurate identification of entry and exit events. The proposed method integrating TVR with SSA for faut size estimation is validated using simulated signals and experimental signals from independent resources. The result shows strong agreement with the accuracy level of size estimation.

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Section: Spall Size Identification Using Tvr-ssamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Patel¹,

Bhojawala²,

Patel³

2022

Meas. Sci. Technol.

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Defect length estimation of rolling element bearings via adaptive separation of dual-impulse

Meng,

Huo,

Yan

et al. 2024

J Braz. Soc. Mech. Sci. Eng.

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Research on Multi-Parameter Optimization of Conical Roller Line Processing Technology Based on Satisfaction Function

Wang,

Xi,

Xiao

2024

Processes

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In the process of conical roller line processing, there will be problems such as low precision of processing parameters, long processing time, low utilization rate of machine tools, high rejection rate, and high processing cost, which will lead to low production efficiency. In order to solve this problem, it is necessary to iteratively optimize the size parameters, including inner diameter, ovality, and taper. By obtaining the optimal parameter combination, the size parameters in the production process are kept consistent, that is, the accuracy and performance of the workpiece during the processing are guaranteed so as to avoid the problem of quality difference, improve the production efficiency and reduce the processing cost. In view of the fact that there are often some constraints on the accuracy and efficiency in the machining process of tapered roller lines, how to optimize the parameters affecting the accuracy and the parameters affecting the efficiency to achieve balance between accuracy and efficiency in order to better meet the needs of customers for multi-objective optimization of the machining process has become the focus of research. Based on the existing research, this paper explores the multi-parameter optimization modeling and application in the machining process of tapered roller lines by constructing a satisfaction function, and then uses a genetic algorithm to iteratively search for the optimal solution by simulating natural selection and the genetic mechanism. Based on Python software v3.12, the production process of tapered roller bearings is simulated. The AHP analytic hierarchy process and CRITIC weight method are used to redistribute the parameter weights respectively. After eight iterations, it is concluded that the weight value assigned by the AHP analytic hierarchy process makes the satisfaction function value reach the best value of 0.99795 and tend to converge stably. The optimized parameter configuration significantly improves the machining accuracy and production efficiency of the tapered roller line. The optimal parameter combination is obtained: inner diameter: 9.9982 mm, ovality: 0.7 mm, taper: 0.5 degrees, production efficiency: 101.0.97 piece/h. In order to verify the optimization effect, the single value (X) and moving extreme difference (Rs) control charts in the measurement value control chart are used to analyze and verify the tolerance values of important parameters in the processing technology of the tapered roller line. The results show that the data points are all within the control limit, indicating that the processing process is in a statistical control state.

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Modeling and Fault Size Estimation for Non-Penetrating Damage in the Outer Raceway of Tapered Roller Bearing

Cited by 3 publications

References 31 publications

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

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

Defect length estimation of rolling element bearings via adaptive separation of dual-impulse

Research on Multi-Parameter Optimization of Conical Roller Line Processing Technology Based on Satisfaction Function

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