Behravan et al., 2021 - Google Patents

Fault diagnosis of DCV and heating systems based on causal relation in fuzzy bayesian belief networks using relation direction probabilities

Behravan et al., 2021

View HTML
Document ID
14967061490258706610
Author
Behravan A
Kiamanesh B
Obermaisser R
Publication year
Publication venue
Energies

External Links

Snippet

The state-of-the-art provides data-driven and knowledge-driven diagnostic methods. Each category has its strengths and shortcomings. The knowledge-driven methods rely mainly on expert knowledge and resemble the diagnostic thinking of domain experts with a high …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0243Electric 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/18Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric

Similar Documents

Publication Publication Date Title
Kang et al. Remaining useful life (RUL) prediction of equipment in production lines using artificial neural networks
Mattera et al. A method for fault detection and diagnostics in ventilation units using virtual sensors
Dey et al. A case study based approach for remote fault detection using multi-level machine learning in a smart building
Tun et al. Hybrid random forest and support vector machine modeling for HVAC fault detection and diagnosis
Calabrese et al. Unsupervised fault detection and prediction of remaining useful life for online prognostic health management of mechanical systems
Melgaard et al. Fault detection and diagnosis encyclopedia for building systems: a systematic review
Hodavand et al. Digital twin for fault detection and diagnosis of building operations: a systematic review
Gálvez et al. Fault detection and RUL estimation for railway HVAC systems using a hybrid model-based approach
Andrade et al. Development of a methodology using artificial neural network in the detection and diagnosis of faults for pneumatic control valves
Chen et al. Development of a unified taxonomy for hvac system faults
Zaitseva et al. Application of the Structure Function in the Evaluation of the Human Factor in Healthcare
Meas et al. Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI)
Matetić et al. A review of data-driven approaches and techniques for fault detection and diagnosis in HVAC systems
Wang et al. Remaining useful life prediction of aircraft turbofan engine based on random forest feature selection and multi-layer perceptron
Nelson et al. Machine learning methods for automated fault detection and diagnostics in building systems—A review
Hosseini Gourabpasi et al. Knowledge Discovery by Analyzing the State of the Art of Data-Driven Fault Detection and Diagnostics of Building HVAC
Aguilar et al. An autonomic cycle of data analysis tasks for the supervision of HVAC systems of smart building
Zhu et al. An Effective Fault Detection Method for HVAC Systems Using the LSTM-SVDD Algorithm
Martinez-Viol et al. Semi-supervised transfer learning methodology for fault detection and diagnosis in air-handling units
Bezyan et al. Detection and diagnosis of dependent faults that trigger false symptoms of heating and mechanical ventilation systems using combined machine learning and rule-based techniques
Youness et al. An explainable artificial intelligence approach for remaining useful life prediction
Haruehansapong et al. Deep learning-driven automated fault detection and diagnostics based on a contextual environment: a case study of HVAC system
Aliyu et al. Prognostic health management of pumps using artificial intelligence in the oil and gas sector: a review
Behravan et al. Fault diagnosis of DCV and heating systems based on causal relation in fuzzy bayesian belief networks using relation direction probabilities
Dou et al. Detection and diagnosis of multiple-dependent faults (MDFDD) of water-cooled centrifugal chillers using grey-box model-based method