Industrial implementation of on-line performance monitoring tools

Hägglund, Tore

doi:10.1016/j.conengprac.2004.12.006

Cited by 56 publications

(20 citation statements)

References 15 publications

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“…The methods in Hägglund [1995Hägglund [ ,2005, Thornhill and Hägglund [1997], Forsman and Stattin [1999], Miao and Seborg [1999] and Salsbury and Singhal [2005] achieve the detection of an oscillation one measurement at a time, but more is needed for plantwide detection than the detection of oscillations in individual control loops. It requires the recognition that an oscillation in one measurement is the same as the oscillation in another measurement, even though the shape of the waveform may differ and when interferences such as other oscillations are present.…”

Section: Detection Of Oscillating Disturbancesmentioning

confidence: 99%

Advances and new directions in plant-wide disturbance detection and diagnosis

Thornhill

Horch²

2007

Control Engineering Practice

169

110

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Section: Detection Of Oscillating Disturbancesmentioning

confidence: 99%

Advances and new directions in plant-wide disturbance detection and diagnosis

Thornhill

Horch²

2007

Control Engineering Practice

169

110

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“…The use of software tool enabled the generation of performance indicators for the control loops, numerical analysis and graphical analysis. Several indicators and metrics could be configured to then write a general grade for the performance of each control loop (e.g., Harris index (Harris, 1989), Nosi, Deli, and Tuni TuniPID indexes (Farenzena, 2008), integral of the absolute error (IAE), oscillation index (Hägglund, 1995(Hägglund, , 2005, valve travel index, among others) (Ordys et al, 2010;Torres and Hori, 2005;Jelali and Huang, 2010) and also to help in diagnosis of control problems. At this stage meetings were held to evaluate the process and defining the indicators to be used to quantify the performance of the control loop, generating a base line for the initial state of the loop with respect to the performance.…”

Section: Step 1: Implantation Of Monitoring Software and Trainingmentioning

confidence: 99%

Regulatory control evaluation and improvement in a steam power plant

Melo

Kayser

Salles

et al. 2012

2012 10th IEEE/IAS International Conference on Industry Applications

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Many industrial plants use regulatory control loops to achieve a stable operation of its processes and ensure that their products meet minimum quality parameters required by their customers. Moreover, the transformation processes of the raw materials into finished products can involve complex organization of equipment and energy use of different types (for example, electrical, chemical, mechanical, thermal, etc.). In this context, a major effort is undertaken by companies so that your plants are operated efficiently. But for that to happen it is essential that regulatory control is working properly. The evaluation of the regulatory control can be made periodically by means of indicators, so that corrective actions can be taken when significant performance degradation thereof occurs. Considering these issues, it was decided to conduct a pilot project to analyze the benefits that the regulatory control evaluation could bring to a company of the steel industry. The pilot project was conducted in a steam power plant belonging to the company. The approach of the methodology employed, the main items checked and the results achieved in this project are part of the scope of this text.1

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“…Performance indices have been developed to not only indicate that performance has in general degraded, but also to diagnose controller behavior as oscillatory/aggressive (Thornhill, Huang, & Zhang, 2003;Thornhill & Horch, 2007;Xia & Howell, 2005;Zang & Howell, 2007) or sluggish (Hagglund, 1999(Hagglund, , 2005Kuehl & Horch, 2005). The identification of the full range of performance by means of a single metric remains an ongoing challenge and a novel approach is detailed in this work.…”

Section: Introductionmentioning

confidence: 99%