Codes of the RQAM and AWSPT

Version 1.0.1 (51.8 MB) by Bingchang Hou

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

5.0

(1)

66 Downloads

Updated 22 Mar 2022

View License

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.

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 February 1, 2023.

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.

View more styles

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.

View more styles

MATLAB Release Compatibility

Created with R2020a

Compatible with any release

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Codes of AWSPT and RQAM

PublicCodesOfAWSPTandRQAM.m

Codes of AWSPT and RQAM

PublicCodesOfAWSPTandRQAMLiveScript.mlx

Version	Published	Release Notes
1.0.1	22 Mar 2022	A related paper is added to the description.	Download
1.0.0	25 Nov 2021		Download

MLA	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.
APA	Hou, B., Wang, D., Xia, T., Wang, Y., Zhao, Y., & Tsui, K.-L. (2021). Investigations on quasi-arithmetic means for machine condition monitoring. Mechanical Systems and Signal Processing, 151, 107451. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.ymssp.2020.107451
BibTeX	@article{Hou_2021, doi = {10.1016/j.ymssp.2020.107451}, url = {https://doi.org/10.1016%2Fj.ymssp.2020.107451}, year = 2021, month = {apr}, publisher = {Elsevier {BV}}, volume = {151}, pages = {107451}, author = {Bingchang Hou and Dong Wang and Tangbin Xia and Yi Wang and Yang Zhao and Kwok-Leung Tsui}, title = {Investigations on quasi-arithmetic means for machine condition monitoring}, journal = {Mechanical Systems and Signal Processing} }

MLA	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.
APA	Hou, B., Wang, D., Wang, Y., Yan, T., Peng, Z., & Tsui, K.-L. (2021). Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring. IEEE Transactions on Instrumentation and Measurement, 70, 1–11. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Ftim.2020.3033471
BibTeX	@article{Hou_2021, doi = {10.1109/tim.2020.3033471}, url = {https://doi.org/10.1109%2Ftim.2020.3033471}, year = 2021, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {70}, pages = {1--11}, author = {Bingchang Hou and Dong Wang and Yi Wang and Tongtong Yan and Zhike Peng and Kwok-Leung Tsui}, title = {Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring}, journal = {{IEEE} Transactions on Instrumentation and Measurement} }