Intelligent Predictive Decision Support System For Condition Based Maintenance

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Intelligent Predictive Decision Support System for ...

    https://link.springer.com/article/10.1007%2Fs001700170173
    The intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements the conventional CBM approach by adding the capability of intelligent condition-based fault diagnosis and the power of predicting the trend of equipment deterioration.Cited by: 470

Intelligent Predictive Decision Support System for ...

    https://www.researchgate.net/publication/225745767_Intelligent_Predictive_Decision_Support_System_for_Condition-Based_Maintenance
    The intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements the conventional CBM approach by adding the capability of intelligent condition-based fault diagnosis and the pou er of predicting the trend...

Intelligent Predictive Decision Support System for ...

    https://pdfs.semanticscholar.org/89ed/aeb115ca1c736fe9a428156c389c7b4ceccc.pdf
    The intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements the conven-tional CBM approach by adding the capability of intelligent condition-based fault diagnosis and the power of predicting the trend of equipment deterioration. An IPDSS model, based on the recurrent neural network (RNN) approach, was

Overview of predictive condition based maintenance ...

    https://www.sciencedirect.com/science/article/pii/S1018363917303720
    In this study, a general overview of the condition based maintenance (CBM) sciences is presented using bibliometric analysis indicators. The aim of the bibliometric analysis indicators is to measure the size and impact of publications and articles of other formats based on the count of scientific papers published and citations received.Cited by: 5

A Novel Decision Support System for Intelligent Maintenance

    https://cordis.europa.eu/project/rcn/104632/en
    The EU-funded project 'A novel decision support system for intelligent maintenance' (IMAIN) is developing an advanced cloud-based monitoring and predictive maintenance solution for forming machines. The system will integrate embedded information devices, artificial intelligence methods and an eMaintenance cloud for collecting data with novel ...

DESIGNING A DECISION SUPPORT SYSTEM FOR TRUCKS …

    https://www.sciencedirect.com/science/article/pii/S1474667015361085
    With the design of an Intelligent Predictive Decision Support System (IPDSS) for Condition-Based Maintenance, Yam et al. integrate equipment condition monitoring, intelligent condition-based fault diagnosis and prediction of the trend of equipment deterioration strongly improving the quality of maintenance decisions.Author: Marzio Sorlini, Andrea Zangiacomi, Rosanna Fornasiero

A Neural Network Integrated Decision Support System for ...

    https://www.researchgate.net/profile/Mark_Lawley/publication/3412602_A_Neural_Network_Integrated_Decision_Support_System_for_Condition-Based_Optimal_Predictive_Maintenance_Policy/links/0fcfd50900e30072bd000000.pdf
    WU etal.: NEURAL NETWORK INTEGRATED DECISION SUPPORT SYSTEM 227 II. LITERATUREREVIEW For the condition-based predictive maintenance, Campbell and Jardine [2] state the concept of condition-based main-

An Intelligent Approach to Optimal Predictive Maintenance ...

    http://iict.bas.bg/acomin/docs/sci-forums/19-21-June-2013/An%20Intelligent%20Approach%20to%20Optimal%20Predictive%20Maintenance%20Strategy%20Defining.pdf
    Condition based maintenance is a decision-making strategy based on real-time diagnosis of impending failures and prognosis of future equipment health [15]. To provide optimal decision making on when to take equipment down for maintenance should be integrated with overall manufacturing operations. This is why additional information about sensing

A Neural Network Integrated Decision Support System for ...

    https://ieeexplore.ieee.org/document/4100783/
    Abstract: This paper develops an integrated neural-network-based decision support system for predictive maintenance of rotational equipment. The integrated system is platform-independent and is aimed at minimizing expected cost per unit operational time. The proposed system consists of …Cited by: 151



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