A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Abstract Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …
Compound fault diagnosis for rotating machinery: State-of-the-art, challenges, and opportunities
Compound fault, as a primary failure leading to unexpected downtime of rotating machinery,
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
S Tang, Y Zhu, S Yuan - Reliability Engineering & System Safety, 2022 - Elsevier
Hydraulic piston pump is known as one of the most critical parts in a typical hydraulic
transmission system. It is imperative to probe into an accurate fault diagnosis method to …
transmission system. It is imperative to probe into an accurate fault diagnosis method to …
Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis
H Pan, H Xu, J Zheng, J Su, J Tong - Advanced Engineering Informatics, 2022 - Elsevier
As a new classification method with the matrix as the input, support matrix machine (SMM)
makes full use of the structured information between rows and columns of the input matrix to …
makes full use of the structured information between rows and columns of the input matrix to …
Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization
Y Zhu, G Li, R Wang, S Tang, H Su, K Cao - Applied Acoustics, 2021 - Elsevier
The hydraulic axial piston pump is the power heart of the hydraulic transmission system in
aerospace equipment and industrial filed. Its stable operation will directly affect the safety …
aerospace equipment and industrial filed. Its stable operation will directly affect the safety …
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Timely and accurate fault diagnosis (FD) in building energy systems (BESs) can promote
energy efficiency and sustainable development. Especially the heating, ventilating, and air …
energy efficiency and sustainable development. Especially the heating, ventilating, and air …
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN
Y Zhu, G Li, S Tang, R Wang, H Su, C Wang - Applied acoustics, 2022 - Elsevier
As the heart of a fluid power system, hydraulic piston pumps are widely used in many critical
applications, such as for marine, aerospace, and engineering equipment. The health status …
applications, such as for marine, aerospace, and engineering equipment. The health status …
An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal
S Tang, Y Zhu, S Yuan - Engineering Failure Analysis, 2022 - Elsevier
Hydraulic pump is a critical component of a hydraulic transmission system. Its normal and
stable operation will directly affect the reliability of the whole system. Owing to the complexity …
stable operation will directly affect the reliability of the whole system. Owing to the complexity …
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network
Z Wu, H Zhang, J Guo, Y Ji, M Pecht - Expert Systems with Applications, 2022 - Elsevier
Bearing fault diagnosis suffers from class imbalances and distributional discrepancies of
fault data under different working conditions. The class imbalance of the fault class …
fault data under different working conditions. The class imbalance of the fault class …
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
Due to difficulties in identifying localized and incipient bearing faults, most proposed fault
diagnosis methods focus on detecting these faults. However, it is not clear to what extent of …
diagnosis methods focus on detecting these faults. However, it is not clear to what extent of …