An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine
Sign Up to like & getrecommendations! Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2020.118866
Abstract: Abstract For the safe operation of the electric vehicle, it is critical to quickly detect the safety state and accurately identify the fault degree in battery packs. This article proposes a novel intelligent fault diagnosis… read more here.
Keywords: intelligent fault; diagnosis method; method; support vector ... See more keywords
Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.02.042
Abstract: The research on intelligent fault diagnosis has yielded remarkable achievements based on artificial intelligence-related technologies. In engineering scenarios, machines usually work in a normal condition, which means limited fault data can be collected. Intelligent fault… read more here.
Keywords: fault; imbalanced data; research; diagnosis ... See more keywords
Intelligent fault detection of high voltage line based on the Faster R-CNN
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.01.072
Abstract: Abstract To realize intelligent fault detection of high voltage line, a deep convolution neural network method based on Faster R-CNN method is proposed to locate the broken insulators and bird nests. With the region proposal… read more here.
Keywords: intelligent fault; faster cnn; line; fault detection ... See more keywords
MiDAN: A framework for cross-domain intelligent fault diagnosis with imbalanced datasets
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109834
Abstract: Abstract The success of deep learning techniques for intelligent fault diagnosis relies on two explicit assumptions: (1) the training and testing data are drawn from the same distribution; (2) the data are class-wise balanced. However,… read more here.
Keywords: diagnosis; intelligent fault; domain; fault diagnosis ... See more keywords
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.07.032
Abstract: In traditional intelligent fault diagnosis methods of machines, plenty of actual effort is taken for the manual design of fault features, which makes these methods less automatic. Among deep learning techniques, autoencoders may be a… read more here.
Keywords: fault; layer; deep learning; intelligent fault ... See more keywords
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.049
Abstract: Abstract Numerous researches have been conducted on developing effective intelligent fault diagnosis systems. As a commonly used deep learning technique, stacked autoencoders (SAEs) have shown the ability of automatic feature extraction and classification. However, the… read more here.
Keywords: fault; deep neural; neural networks; intelligent fault ... See more keywords
A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.106608
Abstract: Abstract Both of traditional intelligent fault diagnosis (TIFD) based on artificial features and modern intelligent fault diagnosis (MIFD) based on deep learning have made healthy progress in recent times. But, the bulk of methods neglects… read more here.
Keywords: diagnosis; model; intelligent fault; fault diagnosis ... See more keywords
An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ac3b0b
Abstract: Mechanical intelligent fault diagnosis is an important method to accurately identify the health status of mechanical equipment. Traditional fault diagnosis methods perform poorly in the diagnosis of rolling bearings under complex conditions. In this paper,… read more here.
Keywords: intelligent fault; method; diagnosis; distribution ... See more keywords
Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2975531
Abstract: The speed of mechanical rotating parts often fluctuates during the working process. Vibration signals collected under constant speed have a strong correlation with the corresponding fault types. However, the mapping relationship becomes complex under large… read more here.
Keywords: speed; speed fluctuation; large speed; intelligent fault ... See more keywords
A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2896665
Abstract: Intelligent fault detection is an important application of artificial intelligence and has been widely used in many mechanical systems. The shipborne antenna that is a typical and an important mechanical system plays an irreplaceable role… read more here.
Keywords: inner product; intelligent fault; fault detection; fault ... See more keywords
An Intelligent Fault Tolerant Data Routing Scheme for Wireless Sensor Network-Assisted Industrial Internet of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3204560
Abstract: Safety is a major concern for Industrial 4.0 where different physical parameters are monitored for avoiding uncertain events in the industry. In industries, natural calamities like fire and leakage of harmful gases can cause huge… read more here.
Keywords: network; intelligent fault; industrial internet; fault ... See more keywords