[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Lamár et al., 2013 - Google Patents

Average probability of failure of aperiodically operated devices

Lamár et al., 2013

View PDF
Document ID
8017397335427405984
Author
Lamár K
Neszveda J
Publication year
Publication venue
Acta Polytechnica Hungarica

External Links

Snippet

The aperiodically operated devices are typically non-operated or stored, usually in a powered-down state. The duration of being operated is much shorter than that of storage. These devices have to perform extremely reliably during usage, while the operation usually …
Continue reading at acta.uni-obuda.hu (PDF) (other versions)

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
    • 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
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32234—Maintenance planning
    • 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
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
    • 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

Similar Documents

Publication Publication Date Title
Lamár et al. Average probability of failure of aperiodically operated devices
Zhang et al. A Wiener process model with dynamic covariate for degradation modeling and remaining useful life prediction
Filz et al. Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning
Wang et al. A two-stage data-driven-based prognostic approach for bearing degradation problem
CN109033499B (en) Multi-stage consistency inspection method for predicting residual life of aircraft engine
Coble et al. Applying the general path model to estimation of remaining useful life
Raza et al. Modelling of predictive maintenance for a periodically inspected system
Roy et al. An NHPP software reliability growth model with imperfect debugging and error generation
Asraful Haque et al. A logistic growth model for software reliability estimation considering uncertain factors
Roemer et al. Validation and verification of prognostic and health management technologies
Li et al. Reliability modeling of a series system with correlated or dependent component degradation processes
Yan et al. Two‐Stage Degradation Assessment and Prediction Method for Aircraft Engine Based on Data Fusion
CN106779443B (en) Operation risk determination method and device in power dispatching
Huang et al. A Condition Based Maintenance for System Subject to Competing Failure due to Degradation and Shock.
Catterson et al. Prognostics of transformer paper insulation using statistical particle filtering of on-line data
Chen et al. Hybrid uncertainty quantification of dependent competing failure process with chance theory
KR20230102431A (en) Oil gas plant equipment failure prediction and diagnosis system based on artificial intelligence
Timoshenko et al. Methods for Failures Forecasting of Complex Radio Electronic Systems
Du et al. Remaining useful life estimation: A review on stochastic process-based approaches
US10157113B2 (en) Information processing device, analysis method, and recording medium
Kirschenmann et al. Decision dependent stochastic processes
Kaur et al. Measures of a Series System's Reliability for One or Two Decimal Random Data Points
Escobet et al. A fault/anomaly system prognosis using a data-driven approach considering uncertainty
Artemyev et al. Probabilistic methods and technologies of risks prediction and rationale of preventive measures by using “smart systems”. Applications to coal branch for increasing Industrial safety of enterprises
Nijhawan et al. On development of change point based generalized SRGM for software with multiple releases