Transmission Error Prediction of RV Reducer based on SSA-BP

There are many factors affecting the assembly quality of RV (Rotate Vector) reducer, and the assembly quality is unstable. In response to this situation, an optimized BP neural network quality prediction model based on the Sparrow Search Algorithm (SSA) is established. The transmission error of the...

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Main Authors: Houzhen Sun, Hongbing Yuan, Bin Yu
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2022-05-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.05.022
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author Houzhen Sun
Hongbing Yuan
Bin Yu
author_facet Houzhen Sun
Hongbing Yuan
Bin Yu
author_sort Houzhen Sun
collection DOAJ
description There are many factors affecting the assembly quality of RV (Rotate Vector) reducer, and the assembly quality is unstable. In response to this situation, an optimized BP neural network quality prediction model based on the Sparrow Search Algorithm (SSA) is established. The transmission error of the key performance index of the reducer is used as the output index, and the key size parameters of the assembly parts are selected as the input influencing factors. After data preprocessing, use the quality prediction model to make predictions. The results show that the BP neural network prediction model improved by the Sparrow algorithm has good prediction accuracy, can effectively predict the selected index parameters, and provides help for the selection of parts in the assembly link of the RV reducer.
format Article
id doaj-art-d16cbe78b24241cca314c1f4247dc835
institution Kabale University
issn 1004-2539
language zho
publishDate 2022-05-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-d16cbe78b24241cca314c1f4247dc8352025-01-10T13:58:11ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-05-014614915430480105Transmission Error Prediction of RV Reducer based on SSA-BPHouzhen SunHongbing YuanBin YuThere are many factors affecting the assembly quality of RV (Rotate Vector) reducer, and the assembly quality is unstable. In response to this situation, an optimized BP neural network quality prediction model based on the Sparrow Search Algorithm (SSA) is established. The transmission error of the key performance index of the reducer is used as the output index, and the key size parameters of the assembly parts are selected as the input influencing factors. After data preprocessing, use the quality prediction model to make predictions. The results show that the BP neural network prediction model improved by the Sparrow algorithm has good prediction accuracy, can effectively predict the selected index parameters, and provides help for the selection of parts in the assembly link of the RV reducer.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.05.022RV reducerQuality predictionBP neural networkSparrow search algorithm
spellingShingle Houzhen Sun
Hongbing Yuan
Bin Yu
Transmission Error Prediction of RV Reducer based on SSA-BP
Jixie chuandong
RV reducer
Quality prediction
BP neural network
Sparrow search algorithm
title Transmission Error Prediction of RV Reducer based on SSA-BP
title_full Transmission Error Prediction of RV Reducer based on SSA-BP
title_fullStr Transmission Error Prediction of RV Reducer based on SSA-BP
title_full_unstemmed Transmission Error Prediction of RV Reducer based on SSA-BP
title_short Transmission Error Prediction of RV Reducer based on SSA-BP
title_sort transmission error prediction of rv reducer based on ssa bp
topic RV reducer
Quality prediction
BP neural network
Sparrow search algorithm
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.05.022
work_keys_str_mv AT houzhensun transmissionerrorpredictionofrvreducerbasedonssabp
AT hongbingyuan transmissionerrorpredictionofrvreducerbasedonssabp
AT binyu transmissionerrorpredictionofrvreducerbasedonssabp