Results 21 to 30 of about 16,975 (265)
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
Distributed fault‐tolerant model predictive control for intermittent faults
IET Control Theory & Applications, 2019 Intermittent fault is a special kind of fault form, which often occurs in industry processes but has been less studied. This study focuses on the distributed fault‐tolerant model predictive control (DFTMPC) problem for an intermittent fault in actuators or sensors. A novel state observer and DFTMPC controller integral framework are presented.
Guannan Xiao, Fei Liu
openaire +2 more sources
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
Checkpointing algorithms and fault prediction [PDF]
Journal of Parallel and Distributed Computing, 2014 This paper deals with the impact of fault prediction techniques on checkpointing strategies. We extend the classical first-order analysis of Young and Daly in the presence of a fault prediction system, characterized by its recall and its precision. In this framework, we provide an optimal algorithm to decide when to take predictions into account, and ...
Aupy, Guillaume +3 more
openaire +3 more sources
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
Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms
Vietnam Journal of Computer Science, 2022 Software Fault Prediction (SFP) is the most persuasive research area of software engineering. Software Fault Prediction which is carried out within the same software project is known as With-In Fault Prediction.
Rashmi Arora, Arvinder Kaur
doaj +1 more source
Fault prediction method of distributed sensor networks system
Gong-kuang zidonghua, 2016 It is difficult to use a general method to implement fault prediction of distributed sensor networks, a kind of fault prediction method based on knowledge discovery was put forward.
LU Ping, ZHENG Wei
doaj +1 more source