Jiang et al., 2017 - Google Patents
Simulation modelling for scenario planning to evaluate IVHM benefit in naval ship buildingJiang et al., 2017
View PDF- Document ID
- 3782052822988061202
- Author
- Jiang J
- Fan I
- Muriel M
- Wen P
- Rua C
- Yuanji L
- Loizillon P
- Mielnicka J
- Publication year
- Publication venue
- Procedia CIRP
External Links
Snippet
Naval ships are long life assets that could be called upon to perform missions not considered in their original design. The through life support arrangement is influenced by the military requirement as well as contracting practice. In navies that contract out the …
- 238000004088 simulation 0 title 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
- 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
- G05B23/0254—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 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
-
- 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
- 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
- G06Q10/0635—Risk analysis
-
- 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
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hänninen et al. | Bayesian network modeling of Port State Control inspection findings and ship accident involvement | |
Ambekar et al. | A review: implementation of failure mode and effect analysis | |
Kadry | Diagnostics and prognostics of engineering systems: methods and techniques: methods and techniques | |
Ivankevich et al. | A proactive strategy of ship maintenance operations | |
Vychuzhanin et al. | Devising a method for the estimation and prediction of technical condition of ship complex systems | |
Roemer et al. | Validation and verification of prognostic and health management technologies | |
Tunçel et al. | An Extended Event Tree Risk Analysis Under Fuzzy Logic Environment: The Case of Fire in Ship Engine Room. | |
George et al. | Recent advances and future trends on maintenance strategies and optimisation solution techniques for offshore sector | |
González et al. | Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognoses | |
Ochella et al. | An RUL-informed approach for life extension of high-value assets | |
Fornlöf et al. | RUL estimation and maintenance optimization for aircraft engines: a system of system approach | |
Jiang et al. | Simulation modelling for scenario planning to evaluate IVHM benefit in naval ship building | |
Dibsdale | Aerospace Predictive Maintenance | |
Thunem et al. | Ussing an Agent-Oriented Framework for Supervision, Diagnosis and Prognosis Applications in Advanced Automation Environments | |
Bitanov | Reliability study of subsea control module with focus on statistical methods | |
G Bea | Risk assessment and management of offshore structures | |
Orsagh et al. | Development of performance and effectiveness metrics for gas turbine diagnostic technologies | |
Vychuzhanin et al. | Intellectualization Method and Model of Complex Technical System's Failures Risk Estimation and Prediction. | |
Khan | Maintenance requirements in aerospace systems | |
Cheliotis | A compound novel data-driven and reliability-based predictive maintenance framework for ship machinery systems | |
Jardine et al. | Interpretation of inspection data emanating from equipment condition monitoring tools: method and software | |
Zhu et al. | Application of prognostics and health management to low demand systems: Use of condition data to help determine function test interval | |
Dikis et al. | Dynamic risk and reliability assessment of ship machinery and equipment | |
Daya et al. | A semi automated model for improving naval vessel system reliability and maintenance data management | |
Stapelberg | Reliability and performance in engineering design |