A Stylized Trend Analysis Approach for Process Monitoring and Fault Diagnosis

Yan Fang; M.A.K. Rasel; Peyton C. Richmond

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A Stylized Trend Analysis Approach for Process Monitoring and Fault Diagnosis

机译：用于过程监控和故障诊断的程式化趋势分析方法

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摘要

A stylized trend analysis was developed to identify recurring or standard operating procedures (SOP) such as equipment switching or maintenance from plant process history data to detect faults and near misses due to operator errors or equipment failures. Trend based fault detection and diagnosis systems have not been implemented widely in the chemical process industries because known fault scenarios are typically required. Known fault scenarios were not required for the stylized trend analysis because faults and near misses were identified by comparing trends with normal SOP transition responses. Large volumes of historical data were processed automatically allowing corrective action to be taken prior to an incident. The stylized trend analysis was demonstrated to detect unsteady-state transition faults on historical distributed control system data simulated for a continuous process ethylene plant dryer switching operation.

机译：开发了程式化的趋势分析，以从工厂过程历史数据中识别重复或标准操作程序（SOP），例如设备切换或维护，以检测由于操作员错误或设备故障而引起的故障和未命中。基于趋势的故障检测和诊断系统在化学过程工业中尚未得到广泛实施，因为通常需要已知的故障情况。程式化趋势分析不需要已知的故障场景，因为通过将趋势与正常SOP转换响应进行比较可以识别出故障和未命中。自动处理大量的历史数据，从而可以在事件发生之前采取纠正措施。演示了程式化的趋势分析，可根据模拟的连续过程乙烯工厂干燥机切换操作的历史分布式控制系统数据检测非稳态过渡故障。

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来源
《Process safety progress》 |2018年第3期|411-418|共8页
作者
Yan Fang; M.A.K. Rasel; Peyton C. Richmond;
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作者单位

Dan E Smith Department of Chemical Engineering, Lamar University, Beaumont, TX;

Dan E Smith Department of Chemical Engineering, Lamar University, Beaumont, TX;

Dan E Smith Department of Chemical Engineering, Lamar University, Beaumont, TX;

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原文格式 PDF
正文语种 eng
中图分类
关键词
maintenance; training; safety management;

机译：保养;训练;安全管理;

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A Stylized Trend Analysis Approach for Process Monitoring and Fault Diagnosis

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