Data‐driven fault diagnosis approaches for industrial equipment: A review
Undetected and unpredicted faults in heavy industrial machines/equipment can lead to
unwanted failures. Therefore, prediction of faults puts paramount importance on maintaining …
unwanted failures. Therefore, prediction of faults puts paramount importance on maintaining …
Reliability prediction-based improved dynamic weight particle swarm optimization and back propagation neural network in engineering systems
B Bai, J Zhang, X Wu, G wei Zhu, X Li - Expert Systems with Applications, 2021 - Elsevier
Aiming at the problem of low accuracy of reliability prediction, a back propagation neural
network (BPNN) model is developed. In the process of reliability prediction, a dynamic …
network (BPNN) model is developed. In the process of reliability prediction, a dynamic …
A proposed iteration optimization approach integrating backpropagation neural network with genetic algorithm
HX Huang, JC Li, CL Xiao - Expert Systems with Applications, 2015 - Elsevier
An iteration optimization approach integrating backpropagation neural network (BPNN) with
genetic algorithm (GA) is proposed. The main idea of the approach is that a BPNN model is …
genetic algorithm (GA) is proposed. The main idea of the approach is that a BPNN model is …
Predicting component reliability and level of degradation with complex-valued neural networks
In this paper, multilayer feedforward neural networks based on multi-valued neurons
(MLMVN), a specific type of complex valued neural networks, are proposed to be applied to …
(MLMVN), a specific type of complex valued neural networks, are proposed to be applied to …
A sentinel-2-based triangular vegetation index for chlorophyll content estimation
Accurate estimation of chlorophyll content is important for diagnosing the physiological and
phenological status of vegetation. Establishing the relationship between vegetation indices …
phenological status of vegetation. Establishing the relationship between vegetation indices …
On the use of machine learning methods to predict component reliability from data-driven industrial case studies
The reliability estimation of engineered components is fundamental for many optimization
policies in a production process. The main goal of this paper is to study how machine …
policies in a production process. The main goal of this paper is to study how machine …
Capability and robustness of novel hybridized artificial intelligence technique for sediment yield modeling in Godavari River, India
Suspended sediment yield (SSY) prediction plays a crucial role in the planning of water
resource management and design. Accurate sediment prediction using conventional models …
resource management and design. Accurate sediment prediction using conventional models …
An overview of data mining and process mining applications in underground mining
E Brzychczy - Inżynieria Mineralna, 2019 - yadda.icm.edu.pl
The underground mining process can be analysed with a data-oriented or process-oriented
approach. The first of them is popular and wide known as data mining while the second is …
approach. The first of them is popular and wide known as data mining while the second is …
An enhanced feed-forward back propagation Levenberg–Marquardt algorithm for suspended sediment yield modeling
Rivers are dynamic geological agents on the earth which transport the weathered materials
of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for …
of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for …
GA trained parallel hidden layered ANN based differential protection of three phase power transformer
Transformer protection is an established area of research to find the fastest and efficient
differential relay algorithm that isolates the transformer from remaining system causing least …
differential relay algorithm that isolates the transformer from remaining system causing least …