Rights statement: ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Accepted author manuscript, 6.82 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Stray Flux-Based Rotation Angle Measurement for Bearing Fault Diagnosis in Variable-Speed BLDC Motors
AU - Wang, X.
AU - Lu, S.
AU - Cao, W.
AU - Xia, M.
AU - Chen, K.
AU - Ding, J.
AU - Zhang, S.
N1 - ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2021/12/31
Y1 - 2021/12/31
N2 - Angle of rotation is a key parameter in motor fault diagnosis under varying speed conditions, and is usually measured by an optical encoder. However, the use of encoders is intrusive and in many scenarios its signal is difficult to access due to technical or commercial reasons. In this study, a novel rotation angle measurement method based on stray flux analysis is proposed and applied to bearing fault diagnosis of brushless direct-current (BLDC) motors. The measurement accuracy of the proposed method is comparable to that from an encoder. The developed method is flexible, noninvasive, and nondestructive. It is easy to implement and eliminates the need for long cables and access of the motor control system. The proposed method can be extended to the diagnosis of motor electrical and drive faults. If implemented with an Internet of Things (IoT) or a hand-held device, it can further improve the reliability of sensorless motor drive systems in industrial automation so as to meet Industry 4.0 requirements.
AB - Angle of rotation is a key parameter in motor fault diagnosis under varying speed conditions, and is usually measured by an optical encoder. However, the use of encoders is intrusive and in many scenarios its signal is difficult to access due to technical or commercial reasons. In this study, a novel rotation angle measurement method based on stray flux analysis is proposed and applied to bearing fault diagnosis of brushless direct-current (BLDC) motors. The measurement accuracy of the proposed method is comparable to that from an encoder. The developed method is flexible, noninvasive, and nondestructive. It is easy to implement and eliminates the need for long cables and access of the motor control system. The proposed method can be extended to the diagnosis of motor electrical and drive faults. If implemented with an Internet of Things (IoT) or a hand-held device, it can further improve the reliability of sensorless motor drive systems in industrial automation so as to meet Industry 4.0 requirements.
KW - BLDC motors
KW - Fault diagnosis
KW - fault diagnosis
KW - Index terms-Bearing fault
KW - Magnetic sensors
KW - Permanent magnet motors
KW - rotation angle measurement
KW - Rotation measurement
KW - Rotors
KW - stray flux
KW - Traction motors
KW - vibration signal analysis
KW - Vibrations
KW - AC motors
KW - Angle measurement
KW - Electric fault currents
KW - Failure analysis
KW - Fault detection
KW - Hand held computers
KW - Internet of things
KW - Signal encoding
KW - Bearing fault diagnosis
KW - Brushless direct current motor
KW - Industrial automation
KW - Internet of Things (IOT)
KW - Measurement accuracy
KW - Motor control system
KW - Rotation angle measurement
KW - Varying speed conditions
KW - Brushless DC motors
U2 - 10.1109/TEC.2021.3079444
DO - 10.1109/TEC.2021.3079444
M3 - Journal article
VL - 36
SP - 3156
EP - 3166
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
SN - 0885-8969
IS - 4
ER -