Codes of the RQAM and AWSPT

Codes of ratio of different quasi-arithmetic means and AWSPT-based sparsity measures for machine condition monitoring.

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Updated 22 Mar 2022

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These are codes of ratio of different quasi-arithmetic means (RQAM) and AWSPT-based sparsity measures for machine condition monitoring.
The AWSPT-based sparsity measures are inspired by the RQAM, and the AWSPT-based sparsity measures can also be reformulated as specific cases of RQAM.
When the RQAM and AWSPT-based sparsity measures used for machine condition monitoring, the new health indices can simultaneously achieve clearly incipient fault detection and monotonic degradation assessment.
Related papers are:
[1] B. Hou, D. Wang, T. Xia, Y. Wang, Y. Zhao, K. Tsui, Investigations on quasi-arithmetic means for machine condition monitoring, Mech. Syst. Signal Process. 151 (2021) 107451. https://doi.org/10.1016/j.ymssp.2020.107451
[2] B. Hou, D. Wang, Y. Wang, T. Yan, Z. Peng, K.-L. Tsui, Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring, IEEE Trans. Instrum. Meas. 70 (2021) 1–11. https://doi.org/10.1109/TIM.2020.3033471
[3] B. Hou, D. Wang, T. Yan, Y. Wang, Z. Peng, K.-L. Tsui, Gini Indices Ⅱ and Ⅲ: Two New Sparsity Measures and Their Applications to Machine Condition Monitoring, IEEE/ASME Trans. Mechatronics. 4435 (2021) 1–1. https://doi.org/10.1109/TMECH.2021.3100532
[4] B. Hou, D. Wang, T. Xia, L. Xi, Z. Peng, K. Tsui, Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring, Mech. Syst. Signal Process. 169 (2022) 108751. https://doi.org/10.1016/j.ymssp.2021.108751

Cite As

Bingchang Hou (2023). Codes of the RQAM and AWSPT (https://www.mathworks.com/matlabcentral/fileexchange/102574-codes-of-the-rqam-and-awspt), MATLAB Central File Exchange. Retrieved .

Hou, Bingchang, et al. “Investigations on Quasi-Arithmetic Means for Machine Condition Monitoring.” Mechanical Systems and Signal Processing, vol. 151, Elsevier BV, Apr. 2021, p. 107451, doi:10.1016/j.ymssp.2020.107451.

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Hou, Bingchang, et al. “Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring.” IEEE Transactions on Instrumentation and Measurement, vol. 70, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 1–11, doi:10.1109/tim.2020.3033471.

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Codes of AWSPT and RQAM

Codes of AWSPT and RQAM

Version Published Release Notes
1.0.1

A related paper is added to the description.

1.0.0