• No results found

The Developed Ontology for Fault Diagnosis

Ontology-based fault diagnosis for power transformers

Ontology-based fault diagnosis for power transformers

... 1.2.2 Dissolved gas analysis Power transformers are filled with a fluid that serves several purposes. The fluid acts as dielectric media, an insulator, and as a heat transfer agent. The most common type of fluid used in ...

107

Advanced winding models and ontology-based fault diagnosis for power transformers

Advanced winding models and ontology-based fault diagnosis for power transformers

... Web ontology language to formally describe the meaning of the terminology used in the Web ...the ontology, the incentive needs a Web ontology language six cases and develop design objectives, needs ...

117

Ontology Evaluation: a pitfall-based approach to ontology diagnosis

Ontology Evaluation: a pitfall-based approach to ontology diagnosis

... to ontology quality such, as lawfulness, richness, interoperatilbity, consistency, ...overall ontology quality can also be calculated in a similar way, obtaining therefore a value between 0 and 1 that ...

260

System fault diagnosis using fault tree analysis

System fault diagnosis using fault tree analysis

... Non-coherent fault trees are drawn to determine the causality of deviations from expected sensor readings within the system. A tree is developed for each transmitter in a subsys[r] ...

356

Real-time fault diagnosis and fault-tolerant control

Real-time fault diagnosis and fault-tolerant control

... real-time fault diagnosis and fault tolerant control ...and fault diagnosis aim to detect, isolate, and identify any kinds of potential abnormalities and faults so that necessary ...

6

Review of Fault Diagnosis for Gyroscope

Review of Fault Diagnosis for Gyroscope

... bias fault, periodic disturbance fault, spikes fault, pulse failure, drift faults [10] ...Bias fault refers to the sensor in the working process, which is a constant constant between the ...

8

The Inference System for Fault Diagnosis

The Inference System for Fault Diagnosis

... Knowledge-based Fault diagnosis ...the fault in advance since some fatal defect of system causes the irreversible ...for fault diagnosis is ...

6

A fault fuzzy-ontology for large scale fault-tolerant wireless sensor networks

A fault fuzzy-ontology for large scale fault-tolerant wireless sensor networks

... LS-WSNs fault-tolerance platform. describes each considered fault type with test execution and approximate-reasoning based ...The ontology includes task structure of diagnostic task and diagnostic ...

11

A survey of fault diagnosis and fault-tolerant techniques- Part I: fault diagnosis With model-based and signal-based approaches

A survey of fault diagnosis and fault-tolerant techniques- Part I: fault diagnosis With model-based and signal-based approaches

... A fault is defined as an unpermitted deviation of at least one characteristic property or parameter of the system from the acceptable/usual/standard condition ...concerned, fault diagnosis is usually ...

13

Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer

Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer

... So fault diagnosis for power transformer is highly important to ensure an uninterrupted power ...intelligent fault diagnosis method of power transformer using fuzzy fault tree analysis ...

10

Fault Diagnosis and Fault-Tolerant Control of Unmanned Aerial Vehicles

Fault Diagnosis and Fault-Tolerant Control of Unmanned Aerial Vehicles

... To ensure safety and reliability of UAVs, the capability of fault-tolerance is a key subject, but not the only one, to be considered. Depending on different applications, the weights and locations of the ...

205

Transformation of Fault Trees into Bayesian Networks Methodology for Fault Diagnosis

Transformation of Fault Trees into Bayesian Networks Methodology for Fault Diagnosis

... in fault tree method the probability of occurrence of the top event, intermediaries vents are governed by their basic events; the occurrence of the latter can be modeled by var- ious statistical distributions ...

10

Integrated Sensor Fault Diagnosis and Fault-Tolerant Control for Manipulator

Integrated Sensor Fault Diagnosis and Fault-Tolerant Control for Manipulator

... integrated fault diagnosis and fault- tolerant control scheme is proposed for the sensor fault in the manipulator ...constant fault or time- varying fault can be estimated by the ...

12

Fault Diagnosis Technology Research on Autopilot

Fault Diagnosis Technology Research on Autopilot

... Determination of Multi-fault Optimization and Measurement Items of Drive Apparatus Autopilot consists of the control circuit, power parts, three angular accelerometer, two linear accelerometer and one Angle ...

7

D-Matrix: Fault Diagnosis Framework

D-Matrix: Fault Diagnosis Framework

... Due to the many kinds of noises observed in our knowledge the task of identifying the main building blocks of D- matrix, like fault components, symptoms, and failure modes becomes a non-trivial exercise. The ...

6

PV Module Fault Detection & Diagnosis

PV Module Fault Detection & Diagnosis

... for fault detection using current and voltage values in comparison to the maximum measured value obtained during normal operating ...of fault while current measurement were used to determine which type of ...

5

Multivariate Analysis for Fault Diagnosis System

Multivariate Analysis for Fault Diagnosis System

... a fault it checks the FSN for already existing faults ...the fault is classified in one of the existing groups the model reports the list of possible causes, consequences, and proper actions should be ...

5

Dynamic Fault Diagnosis in MANET with Accuracy

Dynamic Fault Diagnosis in MANET with Accuracy

... of fault-diagnosis during the diagnosis session of wireless and Mobile Ad hoc Networks (MANETs) using the comparison ...dynamic diagnosis a fault-free host can be faulty during testing ...

8

Fault Diagnosis Based On Causal Computations

Fault Diagnosis Based On Causal Computations

... been developed that selects which sensors to include in order to meet a given diagnosability requirement under the assumption that all residual generators are designed using the extended back substitution ...

11

Fault Diagnosis In Batch Process Monitoring

Fault Diagnosis In Batch Process Monitoring

... effective fault detection and ...any fault occurrence in the process, detection of that fault and categorization of that fault and taking necessary action against the fault to keep our ...

50

Show all 10000 documents...

Related subjects