Detection of Correlated Alarms Based on Similarity Coefficients of Binary Data

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Detection of Correlated Alarms Based on Similarity Coefficients of Binary Data

Zijiang Yang - Nama Orang; Jiandong Wang - Nama Orang; Tongwen Chen - Nama Orang;

This paper studies the statistical analysis for alarm signals in order to detect whether two alarm signals are correlated. First, a similarity measurement, namely, Sorgenfrei coefficient,is selected among 22 similarity coefficients for binary data in the literature.The selection is based on the desired properties associated with specialities of alarm signals. Second, the distribution of a so-called correlation delay is shown to be indispensable and effective for the detection of correlated alarms. Finally, a novel method for detection of correlated alarms is proposed based on Sorgenfrei coefficient and distribution of the correlation delay. Numerical and industrial examples are provided to illustrate and validate the obtained results. Note to Practitioners: Alarm systems have been recognized as
critical assets of industrial plants for safety and efficient operation. However, operators of industrial plants often receive farmore alarms than they can handle promptly. Many alarms belong to the correlated alarms that almost always occur within a short time period of each other. Detecting and handling the correlated alarms can improve the performance of alarm systems. This paper proposes a novel method to detect whether two industrial alarm signals are statistically correlated. The proposedmethod is applicable
to alarm signals in various industrial sectors, including power and utility, process and manufacturing, and oil and gas, and is one of the fundamental tools in advanced alarm management systems.
Index Terms—Alarm signals, binary data, correlated alarms,similarity coefficients.

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Judul Seri: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
No. Panggil: -
Penerbit: : ., 2013
Deskripsi Fisik: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 10, NO. 4, OCTOBER 2013
Bahasa: English
ISBN/ISSN: -
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: VOL. 10, NO. 4
Subjek: TEKNIK
Info Detail Spesifik: -
Pernyataan Tanggungjawab: yuli/agus

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