Cucu et al., 2019 - Google Patents
THEORETICAL ESTIMATION OF MAINTENANCE COSTS FOR PERIODICALLY CONTROLLED VEHICLESCucu et al., 2019
View PDF- Document ID
- 7870626567727491504
- Author
- Cucu S
- Dumitru B
- Publication year
External Links
Snippet
Periodic technical control is the monitoring of the vehicle's condition and the prognosis of its future status. Predictive maintenance decisions are also based on the results of the forecast. The paper proposes to perform a mathematical modeling of the predictive maintenance for …
- 230000000737 periodic 0 abstract description 16
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
- 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
- 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
- G06Q10/0631—Resource planning, allocation or scheduling for a business operation
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- 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
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- 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
- G06Q10/20—Product repair or maintenance administration
-
- 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
- G06Q10/08—Logistics, e.g. warehousing, loading, distribution or shipping; Inventory or stock management, e.g. order filling, procurement or balancing against orders
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2837984B1 (en) | Process to optimize the maintenance of technical systems | |
Di Maio et al. | Combining relevance vector machines and exponential regression for bearing residual life estimation | |
Tinga | Application of physical failure models to enable usage and load based maintenance | |
Van Horenbeek et al. | Quantifying the added value of an imperfectly performing condition monitoring system—Application to a wind turbine gearbox | |
EP3359433B1 (en) | Aircraft brake condition diagnosis and prognosis | |
Tiddens et al. | The adoption of prognostic technologies in maintenance decision making: a multiple case study | |
Ghasemi et al. | Estimating mean residual life for a case study of rail wagon bearings | |
Márquez et al. | Designing CBM plans, based on predictive analytics and big data tools, for train wheel bearings | |
CN111915027B (en) | Method and system for determining reliability of carrier parts | |
US20190156598A1 (en) | Method for predicting corrosion potential, monitoring contaminant load and optimizing corrosion maintenance | |
Gould | Diagnostics “after” prognostics: Steps toward a prognostics-informed analysis of system diagnostic behavior | |
Bai et al. | Estimating railway rail service life: A rail-grid-based approach | |
Einabadi et al. | Dynamic predictive and preventive maintenance planning with failure risk and opportunistic grouping considerations: A case study in the automotive industry | |
Kareem et al. | Development of a model for failure prediction on critical equipment in the petrochemical industry | |
Appoh et al. | Hybrid adaptive model to optimise components replacement strategy: A case study of railway brake blocks failure analysis | |
Cucu et al. | THEORETICAL ESTIMATION OF MAINTENANCE COSTS FOR PERIODICALLY CONTROLLED VEHICLES | |
Nappi et al. | A predictive-based maintenance approach for rolling stocks vehicles | |
Vandawaker et al. | Impact of prognostic uncertainty in system health monitoring | |
Tinga et al. | Maintenance concepts | |
Wang et al. | A stochastic filtering based data driven approach for residual life prediction and condition based maintenance decision making support | |
CN112668794A (en) | Maintenance optimization method for aircraft engine under uncertain life prediction information | |
Milković et al. | New Reliability-Based Model of Stock Optimisation for Railroad Passenger Wagon Maintenance. | |
Chen et al. | BIM-and IoT-Based Data-Driven Decision Support System for Predictive Maintenance of Building Facilities | |
Tiddens et al. | Towards informed maintenance decision making: guiding the application of advanced maintenance analyses | |
Ing et al. | Approach for integrating condition monitoring information and forecasting methods to enhance spare parts supply chain planning |