Method for avoiding false alarms in "associated" systems of automatic fault detection of production processes in chemical plants

被引：0

作者：

Miroslaw, Tomasz ^{[1
]}

Grabowski, Pawel ^{[1
]}

Miroslaw, Marcin ^{[2
]}

机构：

[1] Politech Warszawskiej, Inst Pojazdow & Maszyn Roboczych, Ul Narbutta 84, PL-02594 Warsaw, Poland

[2] Polevs Sp Zoo, Warsaw, Poland

来源：

PRZEMYSL CHEMICZNY | 2024年 / 103卷 / 11期

关键词：

manufacturing processes monitoring; diagnostic systems; transducers; fault detection; DIAGNOSIS; ACCIDENTS;

D O I：

10.15199/62.2024.11.17

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The most important problems related to false alarms raised by supervision systems operating on production lines were analyzed. These alarms were very often caused by failures or malfunctions of diagnostic devices such as transducers, conditioners and amplifiers, involved in monitoring processes. A concept of a method for reducing the problem of false alarms, based on observations of non-process parameters, was proposed. It can be applied to production processes in the chemical industry.

引用

页码：1312 / 1315

页数：4

共 19 条

[1] A real-time knowledge-based system for intelligent monitoring in complex, sensor-rich environments [J].

Beaulah, SA ;

Chalabi, ZS ;

Randle, DG .

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1998, 21 (01) :53-68

[2] Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis [J].

Chiang, LH ;

Russell, EL ;

Braatz, RD .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2000, 50 (02) :243-252

[3] Intelligent approach for the industrialization of deep learning solutions applied to fault detection [J].

Colo, Ivo Perez ;

Sueldo, Carolina Saavedra ;

De Paula, Mariano ;

Acosta, Gerardo G. .

EXPERT SYSTEMS WITH APPLICATIONS, 2023, 233

[4]

Fentaye A., 2022, PHM Soc. Eur. Conf., V7, P136, DOI [10.36001/phme.2022.v7i1.3315, DOI 10.36001/PHME.2022.V7I1.3315]

[5]

Girgin S., 2015, Final Report, DOI [10.2788/20737, DOI 10.2788/20737]

[6] Supervision, fault-detection and fault-diagnosis methods - An introduction [J].

Isermann, R .

CONTROL ENGINEERING PRACTICE, 1997, 5 (05) :639-652

[7]

Kocielny J.M., 2010, Pomiary Automat. Robot., P115

[8] Analysis of the occurrence of major industrial accidents in Poland [J].

Krzysiak, Zbigniew ;

Caban, Jacek ;

Pecyna, Anna ;

Pieniak, Daniel .

PRZEMYSL CHEMICZNY, 2021, 100 (07) :660-663

[9] Recent advances in sensor fault diagnosis: A review [J].

Li, Daoliang ;

Wang, Ying ;

Wang, Jinxing ;

Wang, Cong ;

Duan, Yanqing .

SENSORS AND ACTUATORS A-PHYSICAL, 2020, 309

[10] Automatic fault detection in a low cost frequency domain (capacitance based) soil moisture sensor [J].

Oates, M. J. ;

Ramadan, K. ;

Molina-Martinez, J. M. ;

Ruiz-Canales, A. .

AGRICULTURAL WATER MANAGEMENT, 2017, 183 :41-48

← 1 2 →