Study on Screw Pairs Life Prediction Based on Hidden Markov Model and Neural Networks

Hong Li Gao; Si Tu Yu; Deng Wan Li; Xi Xi Wu; Ming Heng Xu

doi:10.4028/www.scientific.net/AMR.139-141.2527

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 139-141Study on Screw Pairs Life Prediction Based on...

Study on Screw Pairs Life Prediction Based on Hidden Markov Model and Neural Networks

Abstract:

In order to estimate and predict the screw performance in the process of machining, a screw life monitoring system was built. Current signal was processed and features sensitive to cutting force were selected, a virtual force sensor was constructed to model the relation between cutting force and current by BPNN. Cutting force was indirectly calculated by the model, so the rating life of screw in different condition could be known and residual life also be reckoned by historical database. A three-way vibration sensor was installed on screw pair base; screw condition could be induced by HMM which input was 15 vibration signal features. As machining condition changed, corresponding new HMM would be built by adaptive method. Finally, the residual life of screw could be gotten by multi-HMM and BPNN. The experimental results show the model proposed in the paper is effective and high precision.

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Periodical:

Advanced Materials Research (Volumes 139-141)

Pages:

2527-2531

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.139-141.2527

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Online since:

October 2010

Authors:

Hong Li Gao, Si Tu Yu, Deng Wan Li, Xi Xi Wu, Ming Heng Xu

Keywords:

Hidden Markov Model (HMM), Neural Network (NN), Performance Degradation, Screw Pair

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