Automated vibration-based fault size estimation for ball bearings using Savitzky–Golay differentiators

Ismail, Mohamed A.A.; Bierig, Andreas; Sawalhi, Nader

doi:10.1177/1077546317723227

Cited by 11 publications

(3 citation statements)

References 10 publications

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“…In this paper, a method was developed based on a first-time derivative of the vibration acceleration response, or the vibration jerk. It was empirically proven that the jerk response provides a better unified representation of a ball crossing a spall zone than the direct acceleration response for ball bearings [12], as shown in Figure 3. This is because the jerk calculates the rate of acceleration changes that are significantly disturbed at the entry and exit instants.…”

Section: Physical Principlesmentioning

confidence: 99%

Spall Fault Quantification Method for Flight Control Electromechanical Actuator

2022

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Flight control electro-mechanical actuators (EMAs) are among the primary onboard systems that significantly influence the reliability and safety of unmanned aerial vehicles. Recent reliability studies have shown that the ball-screw element of a flight control EMA is subject to oscillating operating conditions that may initiate rapid degradation, such as fatigue spall defects. Accordingly, detecting and quantifying such faults are crucial for developing efficient fault prognostic and remaining useful life estimation capabilities. In this study, a vibration-based fault quantification method is developed to quantify the fatigue faults of a ball-screw mechanism of an EMA. The method is based on identifying the ball passing instants through a localized surface defect on the vibrational jerk rather than the vibrational acceleration measurement. The jerk is numerically determined from conventional accelerometers using a Savitzky–Golay differentiator. This method was successfully tested for ball bearings and it is adjusted in this paper for ball-screw faults. The experimental validation is investigated on a set of fault-seeded samples on NASA’s Ames Research Center Flyable Electro-Mechanical Actuator test stand.

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Section: Physical Principlesmentioning

confidence: 99%

Spall Fault Quantification Method for Flight Control Electromechanical Actuator

2022

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“…Chen and Kurfess [6] used VMD and a cross-correlation approach to accurately estimate fault size, whereas Zhao et al [7] used EMD with approximate entropy to enhance the proper selection of events. The use of a limited bandwidth Savitzky-Golay differentiator for fault size estimation was demonstrated by Ismail et al [8]. In recent times, Zhang et al [9] proposed a newer approach based on natural frequency perturbation for estimation of fault size.…”

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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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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“…Rolling element bearing (REB) is a kind of precise mechanical component that converts the sliding friction to rolling friction for reducing friction loss (Cheng et al, 2020; Ismail et al, 2018; Wen et al, 2021), which are widely used in engineering systems such as gearboxes, pumps, turbines, and generators. As the most common but vulnerable part of the engineering systems, REB directly determines whether the equipment can operate safely and smoothly because its failure might lead to a shutdown of the equipment, and even cause more serious damage (Cheng et al, 2021a; Wen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Abnormal symptom-triggered remaining useful life prediction for rolling element bearings

Cheng

et al. 2022

Journal of Vibration and Control

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Remaining useful life prediction of rolling element bearings is significant to improve the safety and reliability of engineering systems. It is a vital issue to perceive abnormal symptoms for remaining useful life prediction so as to set the occurrence time as the first prediction time. Traditional methods need to define indicators manually to determine the abnormal symptoms, which rely on a lot of domain knowledge and expert experience. This paper proposes a novel abnormal symptoms-triggered remaining useful life prediction approach for rolling element bearings. An adaptive kernel spectral clustering model is constructed in the abnormal symptoms-triggered remaining useful life prediction approach to adaptively detect the abnormal symptoms in real time from multi-dimensional degradation features extracted by integrating time-domain, frequency-domain, time-frequency, and time-series analysis. The occurrence time of abnormal symptoms is set as the first prediction time of the remaining useful life predictor, which is a new type of particle swarm optimization-quantile regression neural network. A benchmarking dataset of rolling element bearings is adopted to evaluate the proposed abnormal symptoms-triggered remaining useful life prediction approach. Experimental results show that this abnormal symptoms-triggered remaining useful life prediction approach is superior to many other prognostic approaches.

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Automated vibration-based fault size estimation for ball bearings using Savitzky–Golay differentiators

Cited by 11 publications

References 10 publications

Spall Fault Quantification Method for Flight Control Electromechanical Actuator

Spall Fault Quantification Method for Flight Control Electromechanical Actuator

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

Abnormal symptom-triggered remaining useful life prediction for rolling element bearings

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