Results 11 to 20 of about 239,815 (291)

Research on fault prediction of working face equipment based on time series data

open access: yesGong-kuang zidonghua, 2021
Coal mine working face equipment are usually consists of several complex system modules that have strong coupling among each other. Moreover, the equipment fault mechanism is complex.
ZHENG Lei
doaj   +1 more source

Predicting faults from cached history [PDF]

open access: yesProceedings of the 1st India software engineering conference, 2007
We analyze the version history of 7 software systems to predict the most fault prone entities and files. The basic assumption is that faults do not occur in isolation, but rather in bursts of several related faults. Therefore, we cache locations that are likely to have faults: starting from the location of a known (fixed) fault, we cache the location ...
Sunghun Kim   +3 more
openaire   +1 more source

A Fault Prediction Model of Adaptive Fuzzy Neural Network for Optimal Membership Function

open access: yesIEEE Access, 2020
As an essential and challenging technology of fault prediction and health management(PHM), fault prediction technology has been a research focus in the field of fault diagnosis. However, the current model-based fault prediction technology and data-driven
Baoshan Zhang   +4 more
doaj   +1 more source

Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment

open access: yesEnergy Reports, 2022
The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the ...
Jiafeng Qin   +4 more
doaj   +1 more source

Formal Verification of a Hybrid Machine Learning-Based Fault Prediction Model in Internet of Things Applications

open access: yesIEEE Access, 2020
By increasing the complexity of the Internet of Things (IoT) applications, fault prediction become an important challenge in interactions between human, and smart devices.
Alireza Souri   +5 more
doaj   +1 more source

A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems

open access: yesComplexity, 2021
The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues.
Zhu Huang   +5 more
doaj   +1 more source

Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation.

open access: yesPLoS ONE, 2023
A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a multi-
Ling Zhong, Qing Li
doaj   +1 more source

Power System Fault Classification and Prediction Based on a Three-Layer Data Mining Structure

open access: yesIEEE Access, 2020
In traditional fault diagnosis methods in power systems, it is difficult to accurately classify and predict the types of faults. With the emergence of big data technology, the fault classification and prediction methods based on big data analysis and ...
Yunliang Wang   +3 more
doaj   +1 more source

Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration [PDF]

open access: yes, 2019
To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather dif cult. This paper proposes a new framework for the fault propagation path modeling method of power systems based ...
Huang, Tao   +6 more
core   +2 more sources

Fault Prediction Method for Wireless Sensor Network Based on Evidential Reasoning and Belief-Rule-Base

open access: yesIEEE Access, 2019
Wireless sensor network (WSN) is a distributed intelligent network, which can independently achieve the information collection task of monitoring targets. However, the WSN is susceptible to faults due to various factors, such as sensor resources, network
Wei He   +4 more
doaj   +1 more source

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