The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A novel method based on self-sensing motor drive system for misalignment detection
Abstract
Abstract In the diagnosis of electromechanical system, traditional vibration analysis methods are affected by the positioning of additional sensors. To overcome this problem, we propose a virtual phase torque (VPT) diagram method based on self-sensing motor drive system. Firstly, the q-axis current is obtained from field oriented control (FOC) process of permanent magnet synchronous motor (PMSM) drive system and used for load torque sensing. Then, fault components extracted from q-axis current and the phase angle from motor encoder are combined together to form the VPT diagram to detect the offset angle of misalignment. Therefore, misalignments in different directions can be classified. Simulations and experiments using a ball screw platform are implemented to validate the proposed method.
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“In [176] it was shown in simulations and in experimental tests that the virtual phase torque (VPT) diagram method based on selfsensing motor drive system enables the detection of the offset angle of misalignment.”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [176]
Citations
Cites
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
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Convolutional Neural Network Based Fault Detection for Rotating Machinery
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Immovilli, F., Bellini, A., Rubini, R., & Tassoni, C. (2010) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2010.2049623 · Cited by 382
Ebrahimi, B. M., Javan Roshtkhari, M., Faiz, J., & Khatami, S. V. (2014) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2013.2263777 · Cited by 271
Jalan, A. K., & Mohanty, A. R. (2009) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2009.07.014 · Cited by 269
New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
Lei, Y., He, Z., Zi, Y., & Chen, X. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2007.07.013 · Cited by 252
Experimental investigations on vibration response of misaligned rotors
Patel, T. H., & Darpe, A. K. (2009) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2009.04.004 · Cited by 223
Wang, J., Peng, Y., & Qiao, W. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2571258 · Cited by 173
Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter
Zhou, W., Lu, B., Habetler, T. G., et al. (2009) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2009.2023566 · Cited by 165
Thermal error forecast and performance evaluation for an air-cooling ball screw system
Xu, Z., Liu, X. J., Kim, H. K., et al. (2011) · International Journal of Machine Tools and Manufacture · doi:10.1016/j.ijmachtools.2011.04.001 · Cited by 158
Cited by
Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges
Orlowska-Kowalska, T., Wolkiewicz, M., Pietrzak, P., Skowron, M., Ewert, P., Tarchala, G., Krzysztofiak, M., & Kowalski, C. T. (2022) · IEEE Access · doi:10.1109/access.2022.3180153 · Cited by 328
Metadata
- Authors
- Yao, Y., Li, Y., & Yin, Q.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Corresponding author
- Li, Yesong
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 116
- Pages
- 217-229
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2883551864
- Cited by
- 42
- References
- 29
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 4 · 2023: 8 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 3
- FWCI
- 1.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Mechanical Systems and Signal Processing (publishedVersion)
- Funders
- Ministry of Science and Technology of the People's Republic of China
- National Science and Technology Major Project
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
- Keywords
- misalignment detection, permanent magnet synchronous motor, field-oriented control, q-axis current, ball screw, sensorless fault diagnosis, electromechanical systems
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- Yao, Y., Li, Y., & Yin, Q. (2019). A novel method based on self-sensing motor drive system for misalignment detection. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2018.06.030
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
