{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T17:43:23Z","timestamp":1770918203300,"version":"3.50.1"},"reference-count":31,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T00:00:00Z","timestamp":1669593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Open Research Project of the State Key Laboratory of Industrial Control Technology","award":["ICT2022B13"],"award-info":[{"award-number":["ICT2022B13"]}]},{"name":"Open Research Project of the State Key Laboratory of Industrial Control Technology","award":["2021MK140"],"award-info":[{"award-number":["2021MK140"]}]},{"name":"Science and Technology Project of the State Administration for Market Regulation","award":["ICT2022B13"],"award-info":[{"award-number":["ICT2022B13"]}]},{"name":"Science and Technology Project of the State Administration for Market Regulation","award":["2021MK140"],"award-info":[{"award-number":["2021MK140"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Vibration signal analysis of the traction machine is an important part of the current rotating machinery state recognition technology, and its feature extraction is the most critical step. In this study, the time-frequency characteristics of the vibration of the traction machine under different elevator running directions, running speeds and load weights are analyzed. The novel demodulation method based on time-frequency analysis and principal component analysis (DPCA) is used to extract the periodic modulated wave signal. In order to compare different influence of background noise and unknown frequency influence, the Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT) methods are used to extract the characteristics of the traction machine vibration signal, respectively. Under different load conditions, it is difficult to observe the obvious differences and similarities of the vibration signals of the traction machine by time-frequency method. However, the DPCA demodulation method provides a guarantee for the reliability and accuracy of the state identification of the traction machine.<\/jats:p>","DOI":"10.3390\/s22239247","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T08:13:09Z","timestamp":1669623189000},"page":"9247","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4615-9768","authenticated-orcid":false,"given":"Dongyang","family":"Li","sequence":"first","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310013, China"},{"name":"Hangzhou Special Equipment Inspection and Research Institute, Hangzhou 310051, China"}]},{"given":"Jianyi","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310013, China"}]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, Zhejiang University, Hangzhou 310013, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1177\/1420326X17751593","article-title":"Numerical Studies on Fire Hazards of Elevator Evacuation in Supertall Buildings","volume":"28","author":"Cai","year":"2019","journal-title":"Indoor Built Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"761","DOI":"10.4236\/eng.2016.811068","article-title":"Fault Prediction of Elevator Door System Based on PSO-BP Neural Network","volume":"8","author":"Wen","year":"2016","journal-title":"Engineering"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"229","DOI":"10.12733\/jics20102695","article-title":"Analysis of Elevator Motor Fault Detection Based on Chaotic Theory","volume":"11","author":"Liu","year":"2014","journal-title":"J. Inf. Comput. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"012156","DOI":"10.1088\/1742-6596\/1848\/1\/012156","article-title":"Computer Vision for System Protection of Elevators","volume":"1848","author":"Lan","year":"2021","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Feng, S., Chen, J., Liang, Y., and Xu, H. (2021, January 23\u201326). Research on Camera Bracket for Elevator Traction Wheel Groove. Proceedings of the 2021 International Conference on Electronic Information Engineering and Computer Science, EIECS 2021, Changchun, China.","DOI":"10.1109\/EIECS53707.2021.9587913"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"107965","DOI":"10.1016\/j.compeleceng.2022.107965","article-title":"Real-Time Intelligent Elevator Monitoring and Diagnosis: Case Studies and Solutions with Applications Using Artificial Intelligence","volume":"100","author":"Jiang","year":"2022","journal-title":"Comput. Electr. Eng."},{"key":"ref_7","first-page":"122","article-title":"Wear Recognition Method for Traction Wheel Groove of Elevator Based on Image Processing","volume":"29","author":"Xiaojuan","year":"2019","journal-title":"China Saf. Sci. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4547030","DOI":"10.1155\/2021\/4547030","article-title":"Elevator Running Fault Monitoring Method Based on Vibration Signal","volume":"2021","author":"Jia","year":"2021","journal-title":"Shock Vib."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1016\/j.proeng.2011.08.125","article-title":"Fault Diagnosis System of Rotating Machinery Vibration Signal","volume":"15","author":"You","year":"2011","journal-title":"Procedia Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.mechatronics.2017.08.005","article-title":"Design Methodology of a Reduced-Scale Test Bench for Fault Detection and Diagnosis","volume":"47","author":"Esteban","year":"2017","journal-title":"Mechatronics"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Nandi, A., and Ahmed, H. (2019). Condition Monitoring with Vibration Signals, Wiley.","DOI":"10.1002\/9781119544678"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"107564","DOI":"10.1016\/j.ymssp.2020.107564","article-title":"The Enkurgram: A Characteristic Frequency Extraction Method for Fluid Machinery Based on Multi-Band Demodulation Strategy","volume":"155","author":"Wu","year":"2021","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_13","first-page":"42","article-title":"Vibration Signal\u2019s Time-Frequency Analysis and Comparison for a Rotating Machinery","volume":"29","author":"Xiang","year":"2010","journal-title":"J. Vib. Shock"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Wang, Z., Yang, J., Li, H., Zhen, D., Xu, Y., and Gu, F. (2019). Fault Identification of Broken Rotor Bars in Induction Motors Using an Improved Cyclic Modulation Spectral Analysis. Energies, 12.","DOI":"10.3390\/en12173279"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"257","DOI":"10.4028\/www.scientific.net\/AMR.457-458.257","article-title":"Design of Hydraulic Fault Diagnosis System Based on Labview","volume":"457\u2013458","author":"Jin","year":"2012","journal-title":"Adv. Mater. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/j.ymssp.2010.07.018","article-title":"Hilbert Transform in Vibration Analysis","volume":"25","author":"Feldman","year":"2011","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.ymssp.2012.09.015","article-title":"A Review on Empirical Mode Decomposition in Fault Diagnosis of Rotating Machinery","volume":"35","author":"Lei","year":"2013","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.ymssp.2015.04.039","article-title":"Spectral Kurtosis for Fault Detection, Diagnosis and Prognostics of Rotating Machines: A Review with Applications","volume":"66\u201367","author":"Wang","year":"2016","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1016\/j.jsv.2010.09.030","article-title":"Time-Frequency Analysis of Time-Varying Modulated Signals Based on Improved Energy Separation by Iterative Generalized Demodulation","volume":"330","author":"Feng","year":"2011","journal-title":"J. Sound Vib."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.ymssp.2014.07.009","article-title":"Iterative Generalized Synchrosqueezing Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions","volume":"52\u201353","author":"Feng","year":"2015","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.ymssp.2016.04.023","article-title":"Iterative Generalized Time\u2013Frequency Reassignment for Planetary Gearbox Fault Diagnosis under Nonstationary Conditions","volume":"80","author":"Chen","year":"2016","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s40430-021-03259-z","article-title":"The MFBD: A Novel Weak Features Extraction Method for Rotating Machinery","volume":"43","author":"Song","year":"2021","journal-title":"J. Braz. Soc. Mech. Sci. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.ymssp.2017.01.011","article-title":"Fast Computation of the Spectral Correlation","volume":"92","author":"Antoni","year":"2017","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1016\/j.ymssp.2008.10.010","article-title":"Cyclostationarity by Examples","volume":"23","author":"Antoni","year":"2009","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.ymssp.2016.02.047","article-title":"Joint Envelope and Frequency Order Spectrum Analysis Based on Iterative Generalized Demodulation for Planetary Gearbox Fault Diagnosis under Nonstationary Conditions","volume":"76\u201377","author":"Feng","year":"2016","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ymssp.2018.03.004","article-title":"Adaptive Iterative Generalized Demodulation for Nonstationary Complex Signal Analysis: Principle and Application in Rotating Machinery Fault Diagnosis","volume":"110","author":"Feng","year":"2018","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/j.isatra.2021.10.026","article-title":"Improved Cyclostationary Analysis Method Based on TKEO and Its Application on the Faults Diagnosis of Induction Motors","volume":"128","author":"Wang","year":"2022","journal-title":"ISA Trans."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1016\/j.jsv.2018.11.024","article-title":"A Novel Demodulation Method for Rotating Machinery Based on Time-Frequency Analysis and Principal Component Analysis","volume":"442","author":"Song","year":"2019","journal-title":"J. Sound Vib."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"117320","DOI":"10.1016\/j.jsv.2022.117320","article-title":"Research on Electromagnetic and Vibration Characteristics of Dynamic Eccentric PMSM Based on Signal Demodulation","volume":"541","author":"Song","year":"2022","journal-title":"J. Sound Vib."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1007\/978-3-319-09918-7_59","article-title":"Freight Car Roller Bearing Fault Detection Using Artificial Neural Networks and Support Vector Machines","volume":"23","author":"Maraini","year":"2015","journal-title":"Mech. Mach. Sci."},{"key":"ref_31","first-page":"757","article-title":"A Review of Vibration Analysis Techniques for Rotating Machines","volume":"V4","author":"Singh","year":"2015","journal-title":"Int. J. Eng. Res."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9247\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:28:08Z","timestamp":1760146088000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9247"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,28]]},"references-count":31,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["s22239247"],"URL":"https:\/\/doi.org\/10.3390\/s22239247","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,28]]}}}