Intelligent Predictive Decision Support System

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Intelligent Predictive Decision Support System for ...

    https://link.springer.com/article/10.1007%2Fs001700170173
    Feb 01, 2001 · 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 maintenance system - Wikipedia

    https://en.wikipedia.org/wiki/Intelligent_Maintenance_System
    An intelligent maintenance system is a system that utilizes data analytics and decision support tools to predict and prevent the potential failure of the machines. With the growing complexity of manufacturing processes and machinery, the role of monitoring systems and intelligent maintenance is …

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 ...

Intelligent Predictive Decision Support System for ...

    https://pdfs.semanticscholar.org/89ed/aeb115ca1c736fe9a428156c389c7b4ceccc.pdf
    integrated to provide a comprehensive decision support for maintenance management [29]. All these encourage us to develop a new framework for an intelligent predictive decision support system (IPDSS), including the prediction of the trend of equipment deterioration, for condition-based maintenance. 4. Intelligent Predictive Decision Support

Decision support system - Wikipedia

    https://en.wikipedia.org/wiki/Decision_support_system
    A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e. unstructured and semi-structured ...

Decision Support and Business Intelligence Systems - Pearson

    https://www.pearson.com/us/higher-education/product/Turban-Decision-Support-and-Business-Intelligence-Systems-9th-Edition/9780136107293.html
    Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems. Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.Format: Paper

An Intelligent Clinical Decision Support System for ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000928/
    Regarding cervical cancer, an intelligent decision making system may support physicians to improve the selection of protocols for monitoring, diagnosing, and treating women with intraepithelial lesions or cervical cancer or even support the rational selection and the patient-specific follow-up decision making for women who have been treated for ...Cited by: 18

An Intelligent Clinical Decision Support System for ...

    https://www.sciencedirect.com/science/article/pii/S1546144018315825
    Moreover, the DSS had higher sensitivity, specificity, and positive predictive values than the CSC. Therefore, this machine learning–based system can be considered an interesting and intelligent approach that can assist in preoperative clinical diagnosis and decision making in patients with GC.Cited by: 2

Maintenance 4.0: Intelligent and Predictive Maintenance ...

    https://ieeexplore.ieee.org/document/8502489/
    Sep 07, 2018 · Therefore, this paper describes the architecture of an intelligent and predictive maintenance system, aligned with Industry 4.0 principles, that considers advanced and online analysis of the collected data for the earlier detection of the occurrence of possible machine failures, and supports technicians during the maintenance interventions by ...



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