Base control for the Tennessee Eastman problem

McAvoy, Thomas J.; Ye, N.

doi:10.1016/0098-1354(94)88019-0

Cited by 308 publications

(190 citation statements)

References 8 publications

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“…Many of them are standard cascade control systems. Further details of the process and its control systems can be found in (Howell, Chen & Zhang, 1997;McAvoy & Ye, 1994;McAvoy, Ye &Chen, 1995).…”

Section: Application To the Tennessee Eastman Process Benchmarkmentioning

confidence: 99%

Towards distributed diagnosis of the Tennessee Eastman process benchmark

Chen

Howell

2002

Control Engineering Practice

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A distributed hybrid strategy is outlined for the isolation of faults and disturbances in the Tennessee Eastman Process, which would build on existing structures for distributed control systems, so should be easy to implement, be cheap and be widely applicable. The main emphasis in the paper is on one component of the strategy, a steady state based approach. Results obtained by applying this approach are presented and knowledge limitations are discussed. In particular a way in which a knowledge-base might evolve to improve isolation capabilities is suggested and the role of the operator is briefly discussed.

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Section: Application To the Tennessee Eastman Process Benchmarkmentioning

confidence: 99%

Towards distributed diagnosis of the Tennessee Eastman process benchmark

Chen

Howell

2002

Control Engineering Practice

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“…The proposed method is applied to the Tennessee Eastman (TE) plant (Downs and Vogel, 1993;McAvoy and Ye, 1994). Figure 1 shows a schematic diagram of the TE plant, which includes five major units: a reactor, a product condenser, a vapor-liquid separator, a recycle compressor and a product stripper.…”

Section: Target Plantmentioning

confidence: 99%

Fault Detection in Chemical Processes Using Discriminant Analysis and Control Chart

Pei

Yamashita

Yoshida

et al. 2008

J. Chem. Eng. Japan

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This paper presents a fault detection methodology based on the Fisher discriminant analysis (FDA) and individuals control charts (XmR control charts). As the first step, FDA is used to find the optimal discriminant direction between the normal operation data and the fault data. In the next step, XmR control charts on the discriminant direction are used to monitor the process. To reduce the amount of false alarms, we also used a variable selection technique based on the contribution plot of FDA. The performance of the proposed technique is demonstrated through application to the monitoring of the Tennessee Eastman challenge process.

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“…For example, xm y .0|x (u).ru r .0 + x(u).su [y] .0|s (u).ȳu.0|r (u).0|y (u).0 sends m to x and for- Figure 1. Tennessee Eastman problem under base control [11].…”

Section: Process Calculusmentioning

confidence: 99%

“…Following the base control strategy outlined by McAvoy and Ye [11], most of the variables may be removed from consideration to leave the twelve control variables and twelve manipulated variables shown in Table 1. Hence, for state estimation purposes, depending on the control law used, not all the variables need to be considered.…”

Section: Tennessee Eastman Problemmentioning

confidence: 99%

A Plant-Wide Industrial Process Control Security Problem

McEvoy

Wolthusen

2011

Critical Infrastructure Protection V

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Industrial control systems are a vital part of the critical infrastructure.The potentially large impact of a failure makes them attractive targets for adversaries. Unfortunately, simplistic approaches to intrusion detection using protocol analysis or naïve statistical estimation techniques are inadequate in the face of skilled adversaries who can hide their presence with the appearance of legitimate actions. This paper describes an approach for identifying malicious activity that involves the use of a path authentication mechanism in combination with state estimation for anomaly detection. The approach provides the ability to reason conjointly over computational structures, and operations and physical states. The well-known Tennessee Eastman reference problem is used to illustrate the efficacy of the approach.

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Base control for the Tennessee Eastman problem

Cited by 308 publications

References 8 publications

Towards distributed diagnosis of the Tennessee Eastman process benchmark

Towards distributed diagnosis of the Tennessee Eastman process benchmark

Fault Detection in Chemical Processes Using Discriminant Analysis and Control Chart

A Plant-Wide Industrial Process Control Security Problem

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