Introduction

Jelali, Mohieddine; Huang, Biao

doi:10.1007/978-1-84882-775-2_1

Cited by 24 publications

(66 citation statements)

References 0 publications

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“…The top plot of Figure shows oscillatory OP and PV of a flow control loop (CHEM 32) in a refinery . The flow control loop, CHEM 32, is said to be suffering from valve stiction.…”

Section: Stiction Detectionmentioning

confidence: 99%

“…Time trend of OP and PV of the pressure control loop (CHEM 16) oscillating due to interactions (top plot) and distribution of the corresponding δ (bottom plot).…”

Section: Stiction Detectionmentioning

confidence: 99%

“…Jelali and Huang created an international stiction database (ISDB) consisting of operation data of control loops taken from chemical industries, the pulp and paper industry, power plants, the mineral industry, commercial buildings, and the metal processing industry. The control loops include flow, level, temperature, pressure, concentration, gauge, and analyzer control loops.…”

Section: Case Studiesmentioning

confidence: 99%

“…Therefore, automatic methods receive greater importance. A collection of automatic methods (Kano’s shape based methods , and Yamashita’s shape based method, cross-correlation method (CORR), histogram based method (HIST), curve fitting method (CURVE), relay technique (RELAY), area peak method (AREA), Hammerstein system based methods (HAMM1, HAMM2, and HAMM3) (Chapters 10–12 in Jelali and Huang), surrogate analysis based method, and bicoherence method (BIC)) reported up to 2009 was provided and discussed in an edited book published by Jelali and Huang . In Chapter 13 of Jelali and Huang, BIC, CORR, HIST, CURVE, RELAY, AREA, HAMM2, and HAMM3 were applied to 20 industrial control loops, in which the actual root causes of oscillations are known, and the comparison made among the results of all methods revealed that BIC and HAMM2 provide a smaller number of false alarms than the remaining methods.…”

Section: Introductionmentioning

confidence: 99%

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Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach

Zheng

Sun

Damarla

et al. 2021

Ind. Eng. Chem. Res.

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In this paper, a novel and effective stiction detection method is proposed by combining K-means clustering and the moving window approach. As a byproduct, the proposed stiction detection method offers an estimation for the stiction band in sticky control valves. The proposed stiction detection method is tested in industrial case studies consisting of benchmark industrial control loops and control loops from an oil sands industry. In the benchmark industrial control loops, the results of the proposed method are compared with some of the existing stiction detection methods. This comparison shows superior performance of the proposed method. It is noticed through a simulation case study and an industrial case study that the proposed method not only provides stiction band estimation but also can detect severe valve stiction or unexpected valve closures.

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“…The top plot of Figure shows oscillatory OP and PV of a flow control loop (CHEM 32) in a refinery . The flow control loop, CHEM 32, is said to be suffering from valve stiction.…”

Section: Stiction Detectionmentioning

confidence: 99%

“…Time trend of OP and PV of the pressure control loop (CHEM 16) oscillating due to interactions (top plot) and distribution of the corresponding δ (bottom plot).…”

Section: Stiction Detectionmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach

Zheng

Sun

Damarla

et al. 2021

Ind. Eng. Chem. Res.

Self Cite

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“…When it is present, problems like increased energy consumption, decreased product quality, or excessive wear of the machinery may appear. It is mentioned in Jelali and Huang 2 that about 20%–30% of the oscillations in control loops are caused by stiction. Hence, it is important to develop proper identification, analysis, and compensation schemes for this nonlinearity.…”

Section: Introductionmentioning

confidence: 99%

Controller structure for plants with combined saturation and stiction

Rodríguez-Liñán

Heath

2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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A compensation strategy for plants that suffer from both stiction and saturation in the input is proposed. This strategy exploits a principle established previously by the authors referred to as the “saturation equivalence.” This approach shows that, for systems affected by a certain class of nonlinearities and saturation at the actuator, the addition of a right inverse of the nonlinearity, in series with the plant, results in a saturation. This article shows that a stiction model belongs to this class of nonlinearities and that it can be compensated using the method of “saturation equivalence” by implementing a right inverse for an approximate stiction model. Then, the resulting saturation can be treated by traditional methods, such as anti-windup or model predictive control. Results are demonstrated in a case study plant via simulation.

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