Statistical signatures used with multivariate statistical analysis for fault detection and isolation and abnormal condition prevention in a process

一种多元统计分析、多元统计的技术，应用在预测诊断能力领域

Inactive Publication Date: 2008-11-12
FISHER-ROSEMOUNT SYST INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, raw process variable data does not always provide sufficient information to accurately predict and isolate abnormal conditions

Method used

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  • Statistical signatures used with multivariate statistical analysis for fault detection and isolation and abnormal condition prevention in a process
  • Statistical signatures used with multivariate statistical analysis for fault detection and isolation and abnormal condition prevention in a process
  • Statistical signatures used with multivariate statistical analysis for fault detection and isolation and abnormal condition prevention in a process

Examples

Experimental program
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Embodiment Construction

[0037] Referring to FIG. 1 , an example process plant 10 in which a fault detection and isolation system may be implemented includes a plurality of control and maintenance systems interconnected with auxiliary equipment by one or more communication networks. In particular, process plant 10 of FIG. 1 includes one or more process control systems 12 and 14 . Process control system 12 may be a conventional process control system, such as a PRO VOX or RS3 system, or any other control system that includes an operator interface 12A connected to a controller 12B and an input / output (I / O) card 12C, the operator Interface 12A, controller 12B, and input / output (I / O) card 12C are in turn connected to, for example, analog and high-speed addressable remote transducers (HART ) on various field devices of the field device 15. Process control system 14 may be a distributed process control system including one or more operator interfaces 14A connected to one or more controllers 14B via a bus,...

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Abstract

A system and method for monitoring a process in a process plant and detecting an abnormal condition includes collecting data representative of the operation of the process, performing a multivariate statistical analysis to represent the operation of the process in a known state based on a set of collected reference data, where the reference data includes a statistical measure of the operation of the process in the known state. The system and method may further include representing the operation of the process in an unknown state based on a set of monitored data, where the monitored data includes a statistical measure of the operation of the process in an unknown state, and using the output of the multivariate statistical analysis as an input, and comparing the process in the unknown state to the multivariate statistical representation of the operation of the process in the known state to determine the operational state of the process.

Description

[0001] related application [0002] This patent claims the benefit of US Provisional Patent Application No. 60 / 726,962, filed October 14, 2005, which is hereby incorporated by reference in its entirety for all purposes. technical field [0003] This patent relates generally to diagnostics and maintenance in processing plants, and in particular to providing predictive diagnostic capabilities in processing plants in a manner that reduces or prevents abnormal conditions in processing plants. Background technique [0004] Process control systems, such as those used in chemical, petroleum, or other processes, typically include one or more centralized or distributed process controllers that communicate via an analog, digital, or hybrid analog / digital bus, Connect to at least one host or operator workstation and one or more process control and instrumentation devices, such as field devices, etc. Field devices can be, for example, valves, valve positioners, switches, transmitters, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/048G05B13/02
CPCG05B23/024
Inventor 约翰·菲利普·米勒
Owner FISHER-ROSEMOUNT SYST INC
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