1998
DOI: 10.1016/s0957-4174(98)00038-4
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Probabilistic temporal reasoning and its application to fossil power plant operation

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Cited by 23 publications
(16 citation statements)
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“…For instance, other researchers have applied combinations of temporal reasoning and Bayesian networks in applications such as clinical simulation [21], understanding visual field deterioration [22], power plant operation [16], reliability modeling and analysis [23], and human-computer interfaces [24]; we expect that our approach will be useful for these and other applications as well.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, other researchers have applied combinations of temporal reasoning and Bayesian networks in applications such as clinical simulation [21], understanding visual field deterioration [22], power plant operation [16], reliability modeling and analysis [23], and human-computer interfaces [24]; we expect that our approach will be useful for these and other applications as well.…”
Section: Discussionmentioning
confidence: 99%
“…Arroyo-Figueroa et al [16] have developed a model called Temporal Nodes Bayesian Network (TNBN), further elaborated by Liu et al [17], wherein each node represents an event or a variable's state change, and the edge between two nodes describes a causal or temporal relation. The time of an observation is used as a temporal reference for all nodes in the network.…”
Section: Reasoning With Time In Causal Networkmentioning
confidence: 99%
“…Tawfik and Neufeld (1994) represented probabilities as functions of time. Arroyo-Figueroa, Sucar, and Villavicencio (1998) considered each node composing of two parts, i.e. a state value of a random variable and a time interval associated to the change of the state.…”
Section: Bayesian Networkmentioning
confidence: 99%
“…Arroyo-Figueroa and Sucar (1999) developed TNBNs as a type of temporal BN, and applied this formalism to fault diagnosis and prediction for the steam generator of a fossil power plant (Arroyo-Figueroa et al 1998).…”
Section: Temporal Nodes Bayesian Networkmentioning
confidence: 99%
“…This paper presents a comparative evaluation of TNBNs and NPEDTs by means of a case study: the diagnosis and prediction of the temporal faults that may occur in the steam generator of a fossil power plant. Arroyo-Figueroa et al (1998) applied TNBNs to this domain. The application of NPEDTs to the same domain is presented in this article.…”
mentioning
confidence: 99%