Real-time analysis of process plant alarms using a mini-computer

Andow, P.K.

doi:10.1016/0098-1354(80)87001-3

Cited by 18 publications

(5 citation statements)

References 6 publications

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“…Подробно процесс формирования диагностического подграфа ДО из мини-дерева изложен в работе [77]. Там же рассматривается и другой подход.…”

Section: рис 2 множество возможных интерпретаций пнг при построенииunclassified

“…Последнее уравнение указывает на то, что скорость изменения давления на входе P вх возрастает с увеличением расхода входного потока F вх и падает с увеличением выходного потока F вых Если в процессе эксплуатации появляется признак неисправности какого-либо элемента, то исходная полная модель, составленная для всей схемы, редуцируется до дефектного элемента с сохранением только тех взаимосвязей, которые имеют к нему непосредственное отношение. Этот упрощенный диагностический подграф и анализируется специальными алгоритмами, рассмотренными, например, в работах [77,78].…”

Section: рис 2 множество возможных интерпретаций пнг при построенииunclassified

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Математические Модели, Используемые В Задачах Диагностики Технологических Систем

Тоичкин¹,

Toichkin²,

Палюх³

et al. 2015

ППС

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The paper deals with mathematical models used in the diagnostics of the technological system states: structurallogical model; causal model; state space model; interval parametric models. The problems of diagnostics states and control of technological safety of chemical production are discussed. It is shown that the core of modern management system of technological safety of chemical production, is a diagnostic system of chemical-technological process states and are some common features of the establishment and use of diagnostic systems for chemical-technological process. The conclusion about the need to build diagnostic systems based on chemical-technological process class of discrete models, which allow the analysis of the system availability under uncertainty information about diagnosed object.

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Section: рис 2 множество возможных интерпретаций пнг при построенииunclassified

Математические Модели, Используемые В Задачах Диагностики Технологических Систем

Тоичкин¹,

Toichkin²,

Палюх³

et al. 2015

ППС

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“…The integration of these systems furthers a preventive behavior and bases the observation and diagnosis stages on significant variables. Such systems are described by Andow (1980) and Lees (1983).…”

Section: Classmentioning

confidence: 99%

Towards explicit consideration of time in cognitive engineering workbenches for “intelligent” assistance system design

Kolski¹,

Duribreux²

1993

International Journal of Industrial Ergonomics

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“…When faults occur in such processes, it is not easy for an operator to figure out the right causes in a short period of time and come up with appropriate responses. In cases when the operation of the process continues in an abnormal state due to physical failures, external disturbances or human error, only after getting worse to a state recognizable by the operator through continued operations in the abnormal state, is an operational fault detected by the operator [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

An early warning generation and emergency advisory system and its application to power plants

Lee¹,

Shin

Yoo

et al. 2008

Korean J. Chem. Eng.

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Based on the fact that abnormal states continue prior to the breakage of the fault, an early warning system was developed by monitoring the variables in operation real-time, deciding on the operational status, and informing the operator of the process status in order to warn of an abnormal operation in advance. As the traditional system, operating based on threshold limits, separately monitors and manages each operating variable, the interaction/co-relationship among the variables is ignored. The proposed early warning system combines operating variables that interact with one another for each unit process or unit facility, producing a neural network model predicting the normal status values and generating warnings of abnormalities in the process in advance. A time extension function-linkage associative neural network model was designed and used taking consideration of the time lag. Based on the emergency advisory database established, an emergency advisory system was also developed that informs the operators of the cause, effect and emergency measures regarding abnormal operations recognized by the early warning system. The developed system was applied to the power plant operations, and it shows a good performance in early warning generation and provides good advice for the management of diagnosed abnormal situations.

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Real-time analysis of process plant alarms using a mini-computer

Cited by 18 publications

References 6 publications

Математические Модели, Используемые В Задачах Диагностики Технологических Систем

Математические Модели, Используемые В Задачах Диагностики Технологических Систем

Towards explicit consideration of time in cognitive engineering workbenches for “intelligent” assistance system design

An early warning generation and emergency advisory system and its application to power plants

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