A fault diagnosis method based on continuous wavelet transform and improved multi-dimensional residual network was proposed to solve the problem that the working environment of precision machining equipment is very co...A fault diagnosis method based on continuous wavelet transform and improved multi-dimensional residual network was proposed to solve the problem that the working environment of precision machining equipment is very complicated,and the fault characteristic signal is weak and hard to extract.Firstly,the best wavelet base Cmor 3-3 is selected by comparing 6 different wavelet base types.Secondly,continuous wavelet transform(CWT)is applied to the acquired original vibration signal to generate the feature map and process the gray level.Finally,the improved ResNeXt network is used to diagnose faults in precision machining equipment.The experimental results show that the proposed CWT and the improved ResNeXt algorithm have high accuracy in identifying precision machining equipment faults in complex environments,with an average accuracy of 99.4%。展开更多
Since the year 2006, having been trained in EHV power grid construction, indigenous manufacturing companies have gradually become full-fledged. With the advancement of the UHV program, they become more confident. Amon...Since the year 2006, having been trained in EHV power grid construction, indigenous manufacturing companies have gradually become full-fledged. With the advancement of the UHV program, they become more confident. Among these companies, there are Xi'an Shiky High Voltage Electric Co., Ltd.(Shiky) of China XD Group(XD), a mega state-owned enterprise, Tebian Electric Apparatus Stock Co., Ltd. (TBEA), a stock company, as well as Baoding Tianwei Baobian Electric Co., Ltd. (TWBB), a dark horse among private sectors. Moreover, Shanghai Sieyuan Electric Co., Ltd.(Sieyuan), which is especially mentionable, has attracted more attention in the industry for its outstanding and rapidly rising market performance.展开更多
Shanghai Power Station Auxiliary Equipment Works (referred to as SDF) was established in April, 1980 on the base of the urban area previously owned by Shanghai Boiler Works so as to facilitate
基金Funding from the Key Research and development plan of Shaanxi Province"Research on key probiems of surface finishing forAerospace Fastener"(2023-YBGY-386).
文摘A fault diagnosis method based on continuous wavelet transform and improved multi-dimensional residual network was proposed to solve the problem that the working environment of precision machining equipment is very complicated,and the fault characteristic signal is weak and hard to extract.Firstly,the best wavelet base Cmor 3-3 is selected by comparing 6 different wavelet base types.Secondly,continuous wavelet transform(CWT)is applied to the acquired original vibration signal to generate the feature map and process the gray level.Finally,the improved ResNeXt network is used to diagnose faults in precision machining equipment.The experimental results show that the proposed CWT and the improved ResNeXt algorithm have high accuracy in identifying precision machining equipment faults in complex environments,with an average accuracy of 99.4%。
文摘Since the year 2006, having been trained in EHV power grid construction, indigenous manufacturing companies have gradually become full-fledged. With the advancement of the UHV program, they become more confident. Among these companies, there are Xi'an Shiky High Voltage Electric Co., Ltd.(Shiky) of China XD Group(XD), a mega state-owned enterprise, Tebian Electric Apparatus Stock Co., Ltd. (TBEA), a stock company, as well as Baoding Tianwei Baobian Electric Co., Ltd. (TWBB), a dark horse among private sectors. Moreover, Shanghai Sieyuan Electric Co., Ltd.(Sieyuan), which is especially mentionable, has attracted more attention in the industry for its outstanding and rapidly rising market performance.
文摘Shanghai Power Station Auxiliary Equipment Works (referred to as SDF) was established in April, 1980 on the base of the urban area previously owned by Shanghai Boiler Works so as to facilitate
