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

Li* et al., 2004 - Google Patents

Fault detection and isolation in non-linear stochastic systems—a combined adaptive Monte Carlo filtering and likelihood ratio approach

Li* et al., 2004

Document ID
5872657078441441363
Author
Li* P
Kadirkamanathan V
Publication year
Publication venue
International Journal of Control

External Links

Snippet

This paper presents the development of a new method for solving fault detection and isolation (FDI) problem in general non-linear stochastic systems. In this paper, the faults are modelled as unknown changes in system parameters and adaptive Monte Carlo filtering …
Continue reading at www.tandfonline.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0243Electric 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators

Similar Documents

Publication Publication Date Title
Herman et al. Climate adaptation as a control problem: Review and perspectives on dynamic water resources planning under uncertainty
Chehade et al. A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes
Li* et al. Fault detection and isolation in non-linear stochastic systems—a combined adaptive Monte Carlo filtering and likelihood ratio approach
Gama et al. On evaluating stream learning algorithms
Bian et al. Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions
Wei et al. Term and variable selection for non-linear system identification
Lin et al. Using principal components in a proportional hazards model with applications in condition-based maintenance
Thygesen et al. Validation of ecological state space models using the Laplace approximation
Jha et al. Particle filter based hybrid prognostics for health monitoring of uncertain systems in bond graph framework
Wanqing et al. Multifractional Brownian Motion and Quantum‐Behaved Partial Swarm Optimization for Bearing Degradation Forecasting
Pires et al. Validation techniques for sensor data in mobile health applications
WO2017087440A1 (en) Anomaly fusion on temporal casuality graphs
Shadman et al. A change point method for Phase II monitoring of generalized linear profiles
Konstantinou et al. A comparative study of statistical and machine learning methods to infer causes of pipe breaks in water supply networks
Tomar et al. Active learning method for risk assessment of distributed infrastructure systems
Leung et al. Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning
Skordilis et al. A condition monitoring approach for real-time monitoring of degrading systems using Kalman filter and logistic regression
Domański Non-Gaussian and persistence measures for control loop quality assessment
Habibi et al. Bayesian sensor fault detection in a Markov jump system
Testik Conditional and marginal performance of the Poisson CUSUM control chart with parameter estimation
Wu et al. Online detection of steady-state operation using a multiple-change-point model and exact Bayesian inference
KR20190078850A (en) Method for estimation on online multivariate time series using ensemble dynamic transfer models and system thereof
Winship et al. Expected future performance of salmon abundance forecast models with varying complexity
Mares et al. Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin
Alomari et al. Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance