DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE
The accuracy of dynamic threshold is low by using the weighted average method. In order to solve this problem,a dynamics threshold calculation method for swashplate bearing based on Bayesian inference is proposed by using the characteristics of the probability density of normal data and different fa...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2020-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.005 |
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| _version_ | 1841535807572148224 |
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| author | CONG Lei XIONG BangShu LI Xin Min SUN Wei JIN XiaoQiang |
| author_facet | CONG Lei XIONG BangShu LI Xin Min SUN Wei JIN XiaoQiang |
| author_sort | CONG Lei |
| collection | DOAJ |
| description | The accuracy of dynamic threshold is low by using the weighted average method. In order to solve this problem,a dynamics threshold calculation method for swashplate bearing based on Bayesian inference is proposed by using the characteristics of the probability density of normal data and different fault type data. Firstly,the singular value decomposition was used to preprocess the vibration signal,and the influence of noise on the dynamic threshold calculation result was filtered out.Secondly,the fault frequency energy feature extracting method was used to extract the features of normal data and inner ring,outer ring and ball fault data. Finally,Bayesian inference method was used to calculate the dynamic threshold of normal data and inner ring,outer ring and ball fault data respectively. The data were obtained by using the fault implantation method,and the dynamic threshold experiments were carried out. The experimental results show that the proposed method which has higher true positive rate and lower false positive rate can correctly find the dividing point between the probability density curve of normal data and different fault type data. The proposed method improves the calculation accuracy of dynamic threshold. |
| format | Article |
| id | doaj-art-be31f1a7d7454c349b71fd82a27674c5 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-be31f1a7d7454c349b71fd82a27674c52025-01-15T02:27:39ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692020-01-014279379830608616DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCECONG LeiXIONG BangShuLI Xin MinSUN WeiJIN XiaoQiangThe accuracy of dynamic threshold is low by using the weighted average method. In order to solve this problem,a dynamics threshold calculation method for swashplate bearing based on Bayesian inference is proposed by using the characteristics of the probability density of normal data and different fault type data. Firstly,the singular value decomposition was used to preprocess the vibration signal,and the influence of noise on the dynamic threshold calculation result was filtered out.Secondly,the fault frequency energy feature extracting method was used to extract the features of normal data and inner ring,outer ring and ball fault data. Finally,Bayesian inference method was used to calculate the dynamic threshold of normal data and inner ring,outer ring and ball fault data respectively. The data were obtained by using the fault implantation method,and the dynamic threshold experiments were carried out. The experimental results show that the proposed method which has higher true positive rate and lower false positive rate can correctly find the dividing point between the probability density curve of normal data and different fault type data. The proposed method improves the calculation accuracy of dynamic threshold.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.005Bayesian inferenceBearing of swashplateDynamic threshold calculationProbability densityFeature extraction |
| spellingShingle | CONG Lei XIONG BangShu LI Xin Min SUN Wei JIN XiaoQiang DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE Jixie qiangdu Bayesian inference Bearing of swashplate Dynamic threshold calculation Probability density Feature extraction |
| title | DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE |
| title_full | DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE |
| title_fullStr | DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE |
| title_full_unstemmed | DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE |
| title_short | DYNAMIC THRESHOLD CALCULATION METHOD FOR BEARING OF HELICOPTER SWASHPLATE BASED ON BAYESIAN INFERENCE |
| title_sort | dynamic threshold calculation method for bearing of helicopter swashplate based on bayesian inference |
| topic | Bayesian inference Bearing of swashplate Dynamic threshold calculation Probability density Feature extraction |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.005 |
| work_keys_str_mv | AT conglei dynamicthresholdcalculationmethodforbearingofhelicopterswashplatebasedonbayesianinference AT xiongbangshu dynamicthresholdcalculationmethodforbearingofhelicopterswashplatebasedonbayesianinference AT lixinmin dynamicthresholdcalculationmethodforbearingofhelicopterswashplatebasedonbayesianinference AT sunwei dynamicthresholdcalculationmethodforbearingofhelicopterswashplatebasedonbayesianinference AT jinxiaoqiang dynamicthresholdcalculationmethodforbearingofhelicopterswashplatebasedonbayesianinference |