[go: up one dir, main page]

Abdul-Wahab et al., 2007 - Google Patents

Troubleshooting the brine heater of the MSF plant fuzzy logic-based expert system

Abdul-Wahab et al., 2007

View PDF
Document ID
3855623492075171619
Author
Abdul-Wahab S
Elkamel A
Al-Weshahi M
Al Yahmadi A
Publication year
Publication venue
Desalination

External Links

Snippet

Multi-stage flash desalination plants consist of many complex parts and equipment. In general, the process of producing water passes through many steps until the final product, which is distillate water, is obtained. At the present, troubleshooting in MSF plants relies on …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267—Fault communication, e.g. human machine interface [HMI]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric

Similar Documents

Publication Publication Date Title
Ayo-Imoru et al. A survey of the state of condition-based maintenance (CBM) in the nuclear power industry
EP2171598B1 (en) Fuzzy classification approach to fault pattern matching
Elshenawy et al. Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants
Nan et al. Real-time fault diagnosis using knowledge-based expert system
Evsukoff et al. Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors
Yong-kuo et al. Research and design of distributed fault diagnosis system in nuclear power plant
Di Maio et al. Transient identification by clustering based on Integrated Deterministic and Probabilistic Safety Analysis outcomes
Samhouri et al. An intelligent machine condition monitoring system using time-based analysis: neuro-fuzzy versus neural network
Kusiak et al. Data-mining-based system for prediction of water chemistry faults
Power et al. A two-step supervisory fault diagnosis framework
Abdul-Wahab et al. Troubleshooting the brine heater of the MSF plant fuzzy logic-based expert system
Karlsson et al. Detection and interactive isolation of faults in steam turbines to support maintenance decisions
Sirola et al. Machine-learning methods in prognosis of ageing phenomena in nuclear power plant components
Mo et al. Robust fault diagnosis based on clustered symptom trees
Manjunatha et al. Total unwrapped phase-based diagnosis of wall thinning in nuclear power plants secondary piping structures
Sivakumar et al. Implementation of VLSI model as a tool in diagnostics of slowly varying process parameters which affect the performance of steam turbine
Kyriazis et al. Gas turbine fault identification by fusing vibration trending and gas path analysis
Al-Weshahi Multi Stage Flash Desalination Troubleshooting Using Fuzzy Logic-Based Expert System
Razavi-Far et al. Fuzzy logic based fault diagnosis of a PWR nuclear power plant
Morman et al. IGENPRO knowledge-based digital system for process transient diagnostics and management
Sai et al. Expert Alarm System for Prediction of Chemistry Faults in a Power Station
Choi et al. Abnormal sensor detection using consistency index in accident situation
Guan et al. HI construction based on multiple performance indicators with applications in DC-DC power circuit of NPP
Shin et al. Concept of understandable diagnostic cause visualization with explainable AI and multilevel flow modeling
Kim A framework for an on-line diagnostic expert system with intelligent sensor validation