Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference
Aiming at the nonlinear relationship between the welding machine servo motor torque signals and the RV （Rotate Vector） reducer crankshaft wear states， a wear fault detection method based on belief rule base inference （BRB） is designed. Firstly， the inputs of BRB system are considered as the mean val...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-04-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.020 |
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| author | Xiaobing Wang Xu Weng Zhuangzhuang Zhao Yu Hu Tianzhen Wang Xiaobin Xu Jianning Li |
| author_facet | Xiaobing Wang Xu Weng Zhuangzhuang Zhao Yu Hu Tianzhen Wang Xiaobin Xu Jianning Li |
| author_sort | Xiaobing Wang |
| collection | DOAJ |
| description | Aiming at the nonlinear relationship between the welding machine servo motor torque signals and the RV （Rotate Vector） reducer crankshaft wear states， a wear fault detection method based on belief rule base inference （BRB） is designed. Firstly， the inputs of BRB system are considered as the mean values of the motor torques and torque derivatives， the outputs are set as the crankshaft wear fault levels. As a result， a belief rule base describing the mapping relationship between the inputs and the outputs is established. After the input signals are online obtained， the evidential reasoning （ER） algorithm is used to fuse the belief rules activated by inputs to obtain a belief distribution about the fault levels， and the degree of the crankshaft wear is evaluated by the distribution. Finally， using the measured torque data to verify the proposed method， it shows that the designed BRB fault detection method can largely replace the maintenance engineer to realize the automatic detection of the faults. |
| format | Article |
| id | doaj-art-495730c154964632ac3f18b80d1d195c |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-04-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-495730c154964632ac3f18b80d1d195c2025-01-10T14:01:01ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-04-014310911430646528Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base InferenceXiaobing WangXu WengZhuangzhuang ZhaoYu HuTianzhen WangXiaobin XuJianning LiAiming at the nonlinear relationship between the welding machine servo motor torque signals and the RV （Rotate Vector） reducer crankshaft wear states， a wear fault detection method based on belief rule base inference （BRB） is designed. Firstly， the inputs of BRB system are considered as the mean values of the motor torques and torque derivatives， the outputs are set as the crankshaft wear fault levels. As a result， a belief rule base describing the mapping relationship between the inputs and the outputs is established. After the input signals are online obtained， the evidential reasoning （ER） algorithm is used to fuse the belief rules activated by inputs to obtain a belief distribution about the fault levels， and the degree of the crankshaft wear is evaluated by the distribution. Finally， using the measured torque data to verify the proposed method， it shows that the designed BRB fault detection method can largely replace the maintenance engineer to realize the automatic detection of the faults.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.020Industrial robotRV reducerCrankshaft wear detectionBelief rule baseIndustrial alarm system |
| spellingShingle | Xiaobing Wang Xu Weng Zhuangzhuang Zhao Yu Hu Tianzhen Wang Xiaobin Xu Jianning Li Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference Jixie chuandong Industrial robot RV reducer Crankshaft wear detection Belief rule base Industrial alarm system |
| title | Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference |
| title_full | Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference |
| title_fullStr | Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference |
| title_full_unstemmed | Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference |
| title_short | Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference |
| title_sort | crankshaft wear fault detection method for welding robot reducer based on belief rule base inference |
| topic | Industrial robot RV reducer Crankshaft wear detection Belief rule base Industrial alarm system |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.020 |
| work_keys_str_mv | AT xiaobingwang crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference AT xuweng crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference AT zhuangzhuangzhao crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference AT yuhu crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference AT tianzhenwang crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference AT xiaobinxu crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference AT jianningli crankshaftwearfaultdetectionmethodforweldingrobotreducerbasedonbeliefrulebaseinference |