Supervisory System for Fault Detection and Diagnosis in Drinking Water Treatment Plants Using Fuzzy Engine

Rojas, Gustavo Adolfo; Rubiano, Edgar Leonardo Quiroga; Chaux, Jesus Filander Caratar; Jaramillo, Carlos Rafael Pinedo; Melo, José Isidro García

doi:10.1109/tla.2017.8070410

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…where ∑ N j=1 ij = 1, i ∈ S and ij ≥ 0, i, j ∈ S. Based on these descriptions, it is said that the operation of function (k) in original system (1) could be described by a Markov process of system (2). First of all, the activation of subsystem i at time instant k achieved by (k) = i will be realized by r k = i at time instant k. More importantly, more information about distribution probability P{ (k + 1) = j| (k) = i} could be described and will be used in system analysis and synthesis.…”

Section: Preliminariesmentioning

confidence: 99%

“…In this paper, the aim is to design a fault detection and isolation (FDI) filter for system (1). Since the original system (1) is transformed into system (2), the FDI problem will be proposed for system (2). Then, a filter based on system (2) is described as…”

Section: Preliminariesmentioning

confidence: 99%

“…Then, the stability and security problems of equipment are more and more important. In order to obtain greater economic and social benefits , the technique for fault diagnosis is proved to be very useful, where fault detection problem should be considered beforehand. As we know, fault detection is to set up a supervisory system to monitor the whole system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault Detection for Discrete‐Time Uncertain Systems with Polytopic Uncertainties: A Markov Approach

Wang

Gao

Miao

et al. 2018

Asian Journal of Control

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In this paper, the fault detection problem for a class of discrete-time polytopic uncertain systems is studied. Different from the traditional methods dealing with polytopic uncertainties, not only its values but also the probability distributions are considered. First of all, the above process about polytopic uncertainty is described by applying a Markov process. Then, the original system with polytopic uncertainties becomes to be a Markovian jump system (MJS) without any uncertainty. Accordingly, the fault detection problem is transformed to be a similar one but considered for an MJS. Particularly, the fault detection and isolation (FDI) filter is constructed to be mode-dependent and also said to be polytope-dependent. Since more information of uncertainty is considered, it is claimed that the obtained results are less conservative. Finally, a practical example is used to show the effectiveness and superiority of the proposed methods.

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Section: Preliminariesmentioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault Detection for Discrete‐Time Uncertain Systems with Polytopic Uncertainties: A Markov Approach

Wang

Gao

Miao

et al. 2018

Asian Journal of Control

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“…In [1] was evaluated the system effectiveness integrating a film activated sludge in the synthetic treatment of greywater and the elimination of nutrients for different organic loads; in [2] was presented theoretical models with a chemical and microbiological point of view. The study made by [3] presents a model of processing wastewater using a formal tool called "Petri nets" in order to make a model of the process of treatment of water contaminated with oil in petroleum and petrochemical processes, in [4][5] models of the purification process of water treatment plants are presented using Petri nets, in [6] a supervisory system for the detection and diagnosis of failures in a water treatment plant using fuzzy engine is presented. However, in references consulted has not been found related information to approaches of this type of system using Coloured Petri Nets modeling (CPN).…”

Section: Introductionmentioning

confidence: 99%

Model of a drinking water treatment process and the variables involved using Coloured Petri Nets

Chaux

Cano

García

2020

Ingeniare. Rev. chil. ing.

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A model that represents the behavior of a critical system or process, such as the drinking water treatment process, is vital for the evaluation of new procedures or their optimization without affecting the real system or risking the population, avoiding economic losses. Due to the complexity in the dynamics of drinking water treatment plants, the use of Coloured Petri Nets is recommended to model the behavior of the variables involved in the process. In this context, this work presents a structured procedure that allows to obtain a model considering a dynamic driven by the occurrence of discrete events and that allows the generation of useful information that can later be used to verify the effectiveness and efficiency of new operating strategies. To evaluate this proposal, a model of the drinking water treatment process of Puerto Mallarino located in Cali, Colombia was developed. Modeling, both the stages of the purification process, and the approximate behavior of the variables involved under the assumption that the changes obey only to the intensity of the raining season.

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SCADA based intake monitoring for improving energy management plan: Case study

et al. 2023

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Supervisory System for Fault Detection and Diagnosis in Drinking Water Treatment Plants Using Fuzzy Engine

Cited by 6 publications

References 6 publications

Fault Detection for Discrete‐Time Uncertain Systems with Polytopic Uncertainties: A Markov Approach

Fault Detection for Discrete‐Time Uncertain Systems with Polytopic Uncertainties: A Markov Approach

Model of a drinking water treatment process and the variables involved using Coloured Petri Nets

SCADA based intake monitoring for improving energy management plan: Case study

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