Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
JM Ramírez-Sanz, JA Maestro-Prieto… - ISA transactions, 2023 - Elsevier
Abstract The automation of Fault Detection and Diagnosis (FDD) is a central task for many
industries today. A myriad of methods are in use, although the most recent leading …
industries today. A myriad of methods are in use, although the most recent leading …
Knock probability determination in a turbocharged gasoline engine through exhaust gas temperature and artificial neural network
M Hosseini, I Chitsaz - Applied Thermal Engineering, 2023 - Elsevier
In the present study, a new combination of different available engine sensors along with an
exhaust gas temperature sensor is used as the input of an artificial neural network to …
exhaust gas temperature sensor is used as the input of an artificial neural network to …
Knock recognition of knock sensor signal based on wavelet transform and variational mode decomposition algorithm
J Sun, X Zhang, Q Tang, Y Wang, Y Li - Energy Conversion and …, 2023 - Elsevier
Natural gas has become the most widely used alternative energy for engines because of its
low emission pollution and sufficient energy reserve. In order to improve the thermal …
low emission pollution and sufficient energy reserve. In order to improve the thermal …
Gaussian mixture model clustering-based knock threshold learning in automotive engines
X Shen, Y Zhang, K Sata, T Shen - IEEE/ASME Transactions on …, 2020 - ieeexplore.ieee.org
In this article, a Gaussian mixture model (GMM) clustering-based method is proposed to
learn the optimal threshold of the knock intensity metric, which minimizes the probability of …
learn the optimal threshold of the knock intensity metric, which minimizes the probability of …
A novel multiple feature-based engine knock detection system using sparse Bayesian extreme learning machine
Automotive engine knock is an abnormal combustion phenomenon that affects engine
performance and lifetime expectancy, but it is difficult to detect. Collecting engine vibration …
performance and lifetime expectancy, but it is difficult to detect. Collecting engine vibration …
An intelligent fault diagnosis method for an electromechanical actuator based on sparse feature and long short-term network
J Yang, Y Guo, W Zhao - Measurement Science and Technology, 2021 - iopscience.iop.org
Electromechanical actuators (EMAs), as the new generation of actuators, have an important
impact on the safety of aircraft. With the development of measurement technology, a large …
impact on the safety of aircraft. With the development of measurement technology, a large …
Research on mechanism diagnosis of an idling abnormal noise of automobile engine
When a vehicle is under the idle condition, the direct engine noise and structure-radiated
noise caused by engine vibration are perceived by passengers more easily than the vehicle …
noise caused by engine vibration are perceived by passengers more easily than the vehicle …
Multiple Engine Faults Detection Based on Variational Mode Decomposition and Echo State Network
X Li, F Bi, X Ma, P Shen, J Cheng - 2020 - sae.org
As a major power source, diesel engines are being widely used in a variety of fields.
However, because of complex structure, some faults which cannot be detected by direct …
However, because of complex structure, some faults which cannot be detected by direct …