A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
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引用次数: 0

Abstract

It is critical to accurately predict the remaining useful life (RUL) of rolling bearings to avoid severe accidents and financial losses in the industry. Nevertheless, accurately determining the initial prediction time (IPT) continues to pose a challenge, and significant differences in the data distribution of bearings under different operating conditions are frequently overlooked. To deal with these problems, we propose a novel two-stage method based on the adversarial strategy for RUL prediction of bearings under variable conditions. Firstly, we create reliable health indicators in an unsupervised manner by recording the coded characteristics of the bearing’s state of health. Secondly, an adaptive threshold method based on rate-of-change (ATMROC) is developed to perform accurate health state classification. Finally, we propose a RUL prediction network based on the attention depth-gated recurrent unit with domain invariance (DIADGRU) to handle the inconsistent distribution of degradation features under different operating conditions. Experiments of RUL prediction on PHM2012 and XITU-SY datasets are implemented, and the promising results validate the effectiveness of the proposed method.
通过对抗策略预测轴承在不同条件下剩余使用寿命的两阶段新方法
准确预测滚动轴承的剩余使用寿命(RUL)对于避免严重事故和经济损失至关重要。然而,准确确定初始预测时间(IPT)仍然是一项挑战,而且不同工作条件下轴承数据分布的显著差异经常被忽视。为了解决这些问题,我们提出了一种基于对抗策略的两阶段新方法,用于预测不同工况下轴承的 RUL。首先,我们通过记录轴承健康状态的编码特征,以无监督的方式创建可靠的健康指标。其次,我们开发了一种基于变化率(ATMROC)的自适应阈值方法,以执行精确的健康状态分类。最后,我们提出了一种基于具有域不变性的注意深度门控递归单元(DIADGRU)的 RUL 预测网络,以处理不同工作条件下退化特征分布不一致的问题。我们在 PHM2012 和 XITU-SY 数据集上进行了 RUL 预测实验,结果令人满意,验证了所提方法的有效性。
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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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