Results 31 to 40 of about 1,831,408 (276)

An application of decision trees method for fault diagnosis of induction motors [PDF]

open access: yes, 2006
Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree ...
Yang, Bo-Suk   +2 more
core   +3 more sources

Failure Probability Analysis of Coherent Systems using Intuitionistic Fuzzy Fault Tree Approach [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
In scenarios where system component failure probabilities are insufficient or imprecise, classical fault tree analysis methods often fail in providing precise assessments of system reliability and safety.
Mintu Kumar   +2 more
doaj   +1 more source

Fuzzy Fault Trees Formalized

open access: yesCoRR
Fault tree analysis is a vital method of assessing safety risks. It helps to identify potential causes of accidents, assess their likelihood and severity, and suggest preventive measures. Quantitative analysis of fault trees is often done via the dependability metrics that compute the system's failure behaviour over time.
Thi Kim Nhung Dang   +2 more
openaire   +4 more sources

Reliability assessment of multistate wind turbine gear train system based on T-S fuzzy fault tree and Bayesian network

open access: yesMechanics & Industry
In recent years, the number of wind farms and the power of wind turbines have been greatly improved, and the gearing system, as a key structure in doubly-fed wind turbines, is of great significance to the safe and stable operation of wind turbines ...
Yin Xiaowei   +3 more
doaj   +1 more source

RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES

open access: yesJixie qiangdu, 2022
In order to solve the limitations of traditional methods in the reliability assessment of complex systems with multi-states and difficult to obtain accurate failure rates, and the problems of T-S fault tree in the system reliability analysis, such as ...
HU QiGuo   +3 more
doaj  

Fuzzy temporal fault tree analysis of dynamic systems

open access: yesInternational Journal of Approximate Reasoning, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kabir, Sohag   +4 more
openaire   +2 more sources

Assessment of gas and dust explosion in coal mines by means of fuzzy fault tree analysis

open access: yesInternational Journal of Mining Science and Technology, 2018
During the past decade, coal dust and gas explosions have been the most two serious types of disasters in China, threatening the lives of miners and causing significant losses in terms of national property. In this paper, an evaluation model of coal dust
Shulei Shi, Bingyou Jiang, Xiangrui Meng
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

A Fuzzy Probability Algorithm for Evaluating the AP1000 Long Term Cooling System to Mitigate Large Break LOCA

open access: yesAtom Indonesia, 2015
Components of nuclear power plants do not always have historical failure data to probabilistically evaluate their reliability characteristics. To overcome this drawback, an alternative approach has been proposed by involving experts to qualitatively ...
J.H. Purba
doaj   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

open access: yesAdvanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy