Balancing information and predictability: A pan latent feature model for plant-wide oscillations root cause analysis

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

Abstract

Analyzing the root cause for plant-wide oscillations is critical for maintaining the reliability and safety of complex systems with control loops. Oscillations in complex systems display varying degrees of predictability and information content. However, existing methods typically focus on a single aspect, which inherently restricts their comprehensiveness, flexibility, and accuracy of diagnosis. To address these challenges, this paper presents a novel pan-latent feature (PLF) modeling-based root cause analysis approach for plant-wide oscillations. PLF flexibly explores both predictability and information content within a unified model to extract informative, predictable, and a novel type of intermediate LFs that balance both attributes, enabling the comprehensive and flexible extraction of multi-type oscillations. By establishing explicit relationships between the extracted features and the original variables, PLF diagnoses the root cause variables of the extracted multi-type oscillations, providing multi-perspective diagnosis results. Through a numerical case study and a real-world plant-wide oscillation application, the proposed method demonstrates superior comprehensiveness, flexibility, and accuracy in finding the root variables of multi-type oscillations compared to existing approaches.

Abstract Image

平衡信息和可预测性:用于全厂振荡根本原因分析的泛潜在特征模型
分析全厂振荡的根本原因对于维持具有控制回路的复杂系统的可靠性和安全性至关重要。复杂系统中的振荡表现出不同程度的可预测性和信息含量。然而,现有的方法往往侧重于单一方面,这固有地限制了其诊断的全面性、灵活性和准确性。为了解决这些挑战,本文提出了一种新的基于泛潜在特征(PLF)建模的植物振荡根本原因分析方法。PLF在一个统一的模型中灵活地探索可预测性和信息内容,以提取信息丰富的、可预测的和一种平衡这两种属性的新型中间LFs,从而能够全面而灵活地提取多类型振荡。PLF通过建立提取的特征与原始变量之间的显式关系,对提取的多类型振荡的根本原因变量进行诊断,提供多角度的诊断结果。通过数值实例研究和全株振荡的实际应用,与现有方法相比,该方法在寻找多类型振荡的根变量方面具有全面性、灵活性和准确性。
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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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