[go: up one dir, main page]

Cao et al., 2013 - Google Patents

Condition-based maintenance at the University of South Carolina: a smart predictive system

Cao et al., 2013

View PDF
Document ID
5504712449818962719
Author
Cao A
Tarbutton J
McCaslin R
Ballentine E
Eisner L
Bayoumi A
Publication year
Publication venue
Proceedings of AHS 69th Annual Forum

External Links

Snippet

Condition-based maintenance (CBM) is a valuable tool to any industry looking to improve productivity, product quality and overall effectiveness of critical systems. Based on the University of South Carolina's (USC) experience and research partnerships, USC's vision of …
Continue reading at www.sc.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
    • G05B23/0259—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
    • 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
    • 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
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32234—Maintenance planning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Testing of gearing or of transmission mechanisms
    • 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
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5086—Mechanical design, e.g. parametric or variational design

Similar Documents

Publication Publication Date Title
US10527520B2 (en) Operating wind motors and determining their remaining useful life
Tiddens et al. Exploring predictive maintenance applications in industry
Tinga Application of physical failure models to enable usage and load based maintenance
Tinga et al. Aligning PHM, SHM and CBM by understanding the physical system failure behaviour
US10388087B2 (en) System and method for improved health management and maintenance decision support
JP5944241B2 (en) Method, monitoring system, and computer program product for monitoring health of monitored system using associative memory method
Farrar et al. An introduction to damage prognosis
Edwards et al. Internet of things–A complete solution for aviation’s predictive maintenance
Haider Overview of prognostics and health management for landing gear maintenance
Cao et al. Condition-based maintenance at the University of South Carolina: a smart predictive system
Fornlöf et al. RUL estimation and maintenance optimization for aircraft engines: a system of system approach
Gomaa Enhancing maintenance management of critical equipment using digital twin
Byington et al. False alarm mitigation of vibration diagnostic systems
US11738886B2 (en) Automatic digital data feedback and utilization in aircraft part lifecycle
Vidyasagar Optimization of aeroengine utilization through improved estimation of remaining useful life (RUL) of on condition (OC) parts
Singh et al. Evaluation of maintainability index of a mechanical system using graph theoretic approach
Delgado et al. A survey of current rotorcraft propulsion health monitoring technologies
Bayoumi et al. Conditioned-Based Maintenance at USC-Part III: Aircraft Components Mapping and Testing for CBM
Larder et al. HUMS condition based maintenance credit validation
Galar et al. SMART bearings: From sensing to actuation
Bakri et al. Advancement in Maintenance Technology
Swerdon et al. A systems engineering approach to electro-mechanical actuator diagnostic and prognostic development
Bui Prognostic algorithm development for plant monitoring and maintenance planning
Cao et al. Component testing for the smart predictive system
Bayoumi et al. Mechanical Diagnosis and Prognosis of Military Aircraft: Integration of Wear, Vibration Time-Frequency Analysis and Temperature into Diagnosis Algorithms