Sheppard et al., 2005 - Google Patents
Bayesian diagnosis and prognosis using instrument uncertaintySheppard et al., 2005
View PDF- Document ID
- 15794939897370358195
- Author
- Sheppard J
- Kaufman M
- Publication year
- Publication venue
- IEEE Autotestcon, 2005.
External Links
Snippet
How can diagnosis and prognosis systems be improved in the presence of uncertainty in test results? How can these uncertainties be identified and modeled? Can diagnosis be improved as a result of understanding these uncertainties? These questions represent the …
- 238000003745 diagnosis 0 title abstract description 24
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
- G05B23/0218—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
-
- 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
- G06F17/5009—Computer-aided design using simulation
-
- 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
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- 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
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/28—Testing of electronic circuits, e.g. by signal tracer
- G01R31/317—Testing of digital circuits
- G01R31/3181—Functional testing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- 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
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- 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
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Sheppard et al. | A Bayesian approach to diagnosis and prognosis using built-in test | |
Zhang et al. | An age-and state-dependent nonlinear prognostic model for degrading systems | |
Przytula et al. | Construction of Bayesian networks for diagnostics | |
US7415328B2 (en) | Hybrid model based fault detection and isolation system | |
Sheppard et al. | Bayesian diagnosis and prognosis using instrument uncertainty | |
KR20170127430A (en) | Method and system for detecting, classifying and / or mitigating sensor error | |
CA2712172C (en) | Apparatus for system diagnosis | |
JPH08234832A (en) | Device and method for monitoring and diagnostic plant | |
Ricks et al. | Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits | |
CN103324155A (en) | System monitoring | |
Lunze | Discrete-event modelling and diagnosis of quantized dynamical systems | |
CN115600352A (en) | Fault detection method and device, electronic equipment and readable storage medium | |
Bartram | System health diagnosis and prognosis using dynamic Bayesian networks | |
Perreault et al. | Deriving prognostic continuous time Bayesian networks from D-matrices | |
Solomentsev et al. | A procedure for failures diagnostics of aviation radio equipment | |
Arogeti et al. | Mode tracking and FDI of hybrid systems | |
Benothman et al. | Diagnosis of uncertain linear systems: an interval approach | |
Sheppard et al. | Managing conflict in system diagnosis | |
Kipersztok et al. | Evidence-based Bayesian networks approach to airplane maintenance | |
Hao et al. | Review on Verification and Validation technology in integrated health management system | |
US12134484B2 (en) | System and method for contextually-informed fault diagnostics using structural-temporal analysis of fault propagation graphs | |
MODARRES | Sensor-based Bayesian inference and placement: review and examples | |
RU2818858C1 (en) | Method for diagnosing a complex of on-board equipment of aircraft based on unsupervised machine learning with automatic determination of model training parameters | |
Sheppard | Accounting for false indication in a Bayesian diagnostics framework | |
Бухтояров et al. | Development of Elements of an Intelligent High-Performance Platform of a Distributed Decision Support System for Monitoring and Diagnostics of Technological Objects |