Elevator health evaluation based on operational state analysis and D-ANP method
Author:
Funder
Research Plan Project of Zhejiang Provincial Administration for Market Regulation
Key Research and Development Program Project in Hu-zhou
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40430-024-05087-3.pdf
Reference33 articles.
1. Qinghao Z, Ping Y, Yuanxiao T et al (2023) Research progress and trend analysis of elevator maintenance quality evaluation. J China Jiliang Univ 34(01):134–141
2. Zhang Y, Xiaowei S, Xuefeng Z et al (2018) Elevator ride comfort monitoring and evaluation using smartphones. Mech Syst Signal Process 105:377–390. https://doi.org/10.1016/j.ymssp.2017.12.005
3. Dapeng N, Lei G, Weiwei Z et al (2022) Operation performance evaluation of elevators based on condition monitoring and combination weighting method. Measurement 194:111091. https://doi.org/10.1016/j.measurement.2022.111091
4. Lucio C, Gionata C, Francesco F (2015) Bayes error based feature selection: an electric motors fault detection case study. In: IEEE.IECON 2015—41st annual conference of the IEEE industrial electronics society, pp 3893–3898. https://doi.org/10.1109/IECON.2015.7392707
5. Jian Z, Xianli Z, Canmian L, Wei W (2018) Reliability evolution of elevators based on the rough set and the improved TOPSIS method. Math Probl Eng. https://doi.org/10.1155/2018/4784965
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