Nothing Special   »   [go: up one dir, main page]

Mathew, 2014 - Google Patents

A Framework and Breakdown of Health & Usage

Mathew, 2014

View PDF
Document ID
14617117024816667461
Author
Mathew M
Publication year
Publication venue
Drexel University

External Links

Snippet

With the increasing need for effective and efficient asset management, investors owning high value goods have been looking into ways to reduce spend on maintaining their acquired assets. By default then the highest spend assets become aircrafts, space crafts and …
Continue reading at core.ac.uk (PDF) (other versions)

Classifications

    • 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
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • 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
    • 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
    • G05B23/0259—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
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data

Similar Documents

Publication Publication Date Title
Ahmed et al. Condition monitoring with vibration signals: Compressive sampling and learning algorithms for rotating machines
Lee et al. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
Tiddens et al. Exploring predictive maintenance applications in industry
Sun et al. Benefits and challenges of system prognostics
Gerdes et al. Effects of condition-based maintenance on costs caused by unscheduled maintenance of aircraft
Dempsey et al. Investigation of current methods to identify helicopter gear health
Liu et al. Technology development and commercial applications of industrial fault diagnosis system: a review
US20170186249A1 (en) System and method for improved health management and maintenance decision support
Ly et al. Fault diagnosis and failure prognosis for engineering systems: A global perspective
Mosallam Remaining useful life estimation of critical components based on Bayesian Approaches.
Leoni et al. A new comprehensive monitoring and diagnostic approach for early detection of mechanical degradation in helicopter transmission systems
Wen et al. Applications of Prognostics and Health Management in aviation industry
Zhang et al. Anomaly detection: A robust approach to detection of unanticipated faults
King et al. Equipment health monitoring in complex systems
Mathew A Framework and Breakdown of Health & Usage
Kim Machine prognostics based on health state probability estimation
Blechertas et al. CBM fundamental research at the university of south carolina: a systematic approach to US army rotorcraft CBM and the resulting tangible benefits
Byington et al. False alarm mitigation of vibration diagnostic systems
Knight et al. Intelligent management of helicopter health and usage management systems data
Delgado et al. A survey of current rotorcraft propulsion health monitoring technologies
Phillips Health monitoring of electrical actuators for landing gears
Azzam et al. FUMS/spl trade/technologies for verifiable affordable prognostics health management (PHM)
Ortiz et al. Multi source data integration for aircraft health management
Bayoumi et al. Conditioned-Based Maintenance at USC-Part III: Aircraft Components Mapping and Testing for CBM
Teixeira et al. Probabilistic machine learning could eliminate no fault found