Results 21 to 30 of about 1,965,454 (227)
Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems [PDF]
, 2009 This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk +4 more
core +1 more source
IEEE 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
Fault severity diagnosis of rolling element bearings based on kurtogram and envelope analysis [PDF]
, 2014 Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring.
Gu, Fengshou +6 more
core +6 more sources
Study on fault identification of mechanical dynamic nonlinear transmission system
Nonlinear Engineering, 2022 To solve the problems of large mechanical powertrain such as complex structure, serious accident, strong nonlinear characteristics of running state, bad operating environment, non-Gaussian noise, and various uncertain factors, it is difficult to make an ...
Guo Erfu +3 more
doaj +1 more source
Machine condition prognosis based on regression trees and one-step-ahead prediction [PDF]
, 2008 Predicting the degradation of working conditions of machinery and trending of fault propagation before they reach the alarm or failure threshold is extremely important in industry to fully utilize the machine production capacity.
Yang, Bo-Suk +5 more
core +1 more source
Design of remote fault prediction system for coal preparation equipments
Gong-kuang zidonghua, 2019 In view of problems existing in current coal preparation equipments fault prediction, such as equipments monitoring data conversion method was not unified, single fault classification model cannot meet requirements of multiple fault types prediction, and
FU Xiang, WANG Ranfeng, PANG Liang
doaj +1 more source
Alexandria Engineering Journal, 2023 When predicting the failure of large complete equipment such as continuous casting machines, it is usually difficult to obtain full life cycle failure data of core equipment such as continuous casting rollers.
Erbao Xu, Fangfang Zou, Pingping Shan
doaj +1 more source
IEEE Access, 2018 Vehicular networks (VNs) have become a feasible solution to solve network related problems in an intelligent transportation system. Due to their wide use in services, VNs are extremely vulnerable to interference that leads to frequent faults; therefore ...
Rong Geng +3 more
doaj +1 more source
Design and Implementation of the Remote Operation and Maintenance Platform for the Combine Harvester
Applied Sciences, 2022 To meet the needs of remotely operating and maintaining combine harvesters in view of the problems of extensive operation, inefficient operation and maintenance, and backward management of combine harvesters, a remote operation and maintenance platform ...
Shenghe Bai +11 more
doaj +1 more source
A Novel Principal Component Analysis-Informer Model for Fault Prediction of Nuclear Valves
Machines, 2022 In this paper, a deep learning fault detection and prediction framework combining principal component analysis (PCA) and Informer is proposed to solve the problem of online monitoring of nuclear power valves which is hard to implement. More specifically,
Zhao An +10 more
doaj +1 more source