Study of cumulative fatigue damage detection for used parts with nonlinear output frequency response functions based on NARMAX modelling

Huang, Huan; Mao, Hanying; Mao, Hanling; Zheng, Weixue; Huang, Zhenfeng; Li, Xinxin; Wang, Xianghong

doi:10.1016/j.jsv.2017.08.023

Cited by 40 publications

(27 citation statements)

References 17 publications

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“…In order to find out a suitable index for online monitoring of rotor rub-impact faults, a new index based on Clenshaw-Curtis integration method [28] is used in this paper, which is the second-order weighted contribution rate integral index RI. e simulation and experimental results show that the index is more suitable for detecting the rotor rub-impact faults than these indexes in [25,26] and has certain efficiency. e contribution of this paper is to combine the weighted contribution rate of NOFRFs with Clenshaw-Curtis integration method for the first time.…”

Section: Introductionmentioning

confidence: 96%

“…e existence of centrifugal force just makes the rotor system meet the conditions for calculating NOFRFs in [26] so that the NOFRFs of the system can be obtained. During the research, it was found that the indexes proposed in [25,26] did not change significantly in the rotor rub-impact fault system. In order to find out a suitable index for online monitoring of rotor rub-impact faults, a new index based on Clenshaw-Curtis integration method [28] is used in this paper, which is the second-order weighted contribution rate integral index RI.…”

Section: Introductionmentioning

confidence: 98%

“…e results prove that this method is simple and efficient. Huang et al [25] established the NARMAX model identification with PSO-adaptive lasso algorithm. A damage detection method combining the NARMAX model with a rectangular pulse is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…e feasibility of the method was verified by the detection of damaged aluminum plates under the NARMAX model. Huang et al [25] proposed a new index Ne. e NOFRFs of the nonlinear system are calculated by the NARMAX model, and then the index Ne is calculated.…”

Section: Introductionmentioning

confidence: 99%

“…In [25][26][27], the structural damage of test piece was tested at static state (nonworking state). e system excitation used in these references is a method of pulse excitation.…”

Section: Introductionmentioning

confidence: 99%

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Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults

Liu

Zhao

et al. 2019

Shock and Vibration

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Rub-impact between the rotating and static parts is a more common fault. The occurrence of faults is often accompanied by the generation of nonlinear phenomena. However, it is difficult to find out because the nonlinear characteristics are not obvious at the beginning of the fault. As a new frequency domain-based method, nonlinear output frequency response functions (NOFRFs) use the vibration response to extract the nonlinear characteristics of the system. This method has a better recognition rate for fault detection. Also, it has been applied in structural damages detection, but the high-order NOFRFs have the characteristics that the signals are weak and the features are difficult to extract. On this basis, the concept of the weighted contribution rate of the NOFRFs is proposed in this paper. The variable weighted coefficients with orders are used to amplify the influence of high-order NOFRFs on the nonlinearity of the system so as to extract its fault characteristics. The new index RI is proposed based on Clenshaw–Curtis quadrature formula to eliminate the effect of artificially selected weighted coefficients on sensitivity. Especially in the early stage of the fault, the new index varies greatly with the deepening of the fault. Both simulation and experimental results verify the validity and practicability of the new index. The new index has certain guiding significance in the detection of mechanical system faults.

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In [25][26][27], the structural damage of test piece was tested at static state (nonworking state). e system excitation used in these references is a method of pulse excitation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults

Liu

Zhao

et al. 2019

Shock and Vibration

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Derivation of NARX models by expanding activation functions in neural networks

Inaoka

Kobayashi

Nebuya

et al. 2019

IEEJ Transactions Elec Engng

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A method was developed to derive an NARX model from a neural network so that the usability of open‐source libraries for network learning was combined with the NARX advantage of revealing the system structure. After the neural network model was trained on input and output data, the sigmoid activation functions were expanded into Taylor series. Candidate parameters in the NARX model were calculated from the connection weights in the neural network and coefficients in the series. The NARX model structure was determined by the extended least‐squares (ELS) method and the Bayesian information criterion (BIC). Correct NARX models were successfully detected in computer simulations and an experiment. The developed method can be used for any activation functions, including the sigmoid function, if they are expanded into Taylor series. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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A Novel Vibration Response-Based Approach to Monitor Faults in Bolted Complex Structures

Li,

Zhao,

Liao

et al. 2024

NODYCON Conference Proceedings Series

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Study of cumulative fatigue damage detection for used parts with nonlinear output frequency response functions based on NARMAX modelling

Cited by 40 publications

References 17 publications

Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults

Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults

Derivation of NARX models by expanding activation functions in neural networks

A Novel Vibration Response-Based Approach to Monitor Faults in Bolted Complex Structures

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