Sensors, 2020 Intelligent methods have long been researched in fault diagnosis. Traditionally, feature extraction and fault classification are separated, and this process is not completely intelligent.
Jun He +5 more
doaj +2 more sources
Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion
Sensors, 2019 To improve the performance of acoustic logging tool in detecting three-dimensional formation, larger and more complicated transducer arrays have been used, which will greatly increase the difficulty of fault diagnosis during tool assembly and maintenance.
Xiaolong Hao +4 more
doaj +2 more sources
Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data. [PDF]
Sensors (Basel), 2023 Fault diagnosis is essential for high energy systems such as liquid rocket engines (LREs) due to harsh thermal and mechanical working environment.
Zhang X, Hua X, Zhu J, Ma M.
europepmc +2 more sources
Intelligent Fault Diagnosis of Hydraulic Multi-Way Valve Using the Improved SECNN-GRU Method with mRMR Feature Selection. [PDF]
Sensors (Basel), 2023 Hydraulic multi-way valves as core components are widely applied in engineering machinery, mining machinery, and metallurgical industries. Due to the harsh working environment, faults in hydraulic multi-way valves are prone to occur, and the faults that ...
Guan H, Yan R, Tang H, Xiang J.
europepmc +2 more sources
Intelligent fault diagnosis of power transmission line using fuzzy logic and artificial neural network [PDF]
, 2022 In the industrial sector, transmission lines are an important part of the electrical grid. Thus it is important to protect it from all the different faults that may occur as soon as possible to supply the electric power continuously.
Boudiaf, Mohamed +7 more
core +1 more source
Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet. [PDF]
Sensors (Basel), 2021 Rolling bearings are important in rotating machinery and equipment. This research proposes variational mode decomposition (VMD)-DenseNet to diagnose faults in bearings.
Lin SL.
europepmc +2 more sources
A Cross-Machine Intelligent Fault Diagnosis Method with Small and Imbalanced Data Based on the ResFCN Deep Transfer Learning Model. [PDF]
Sensors (Basel)Intelligent fault diagnosis (IFD) for mechanical equipment based on small and imbalanced datasets has been widely studied in recent years, with transfer learning emerging as one of the most promising approaches.
Zhao J, Yuan M, Cui Y, Cui J.
europepmc +2 more sources
Applied Sciences, 2021 Safety is the most important aspect of railway transportation. To ensure the safety of high-speed trains, various train components are equipped with sensor devices for real-time monitoring.
Kunlin Zhang +5 more
doaj +1 more source
IEEE Access, 2020 Rotating machinery plays a critical role in many significant fields. However, the unpredictable machinery faults may lead to the severe damage and losses. Hence, it is of great value to explore the precise approaches for fault diagnosis.
Shengnan Tang, Shouqi Yuan, Yong Zhu
doaj +1 more source
A Hybrid Feature Selection and Multi-Label Driven Intelligent Fault Diagnosis Method for Gearbox. [PDF]
Sensors (Basel), 2023 Gearboxes are utilized in practically all complicated machinery equipment because they have great transmission accuracy and load capacities, so their failure frequently results in significant financial losses.
Liu D, Zhang X, Zhang Z, Jiang H.
europepmc +2 more sources