Signal frequency domain analysis and sensor fault diagnosis based on artificial intelligence
D Li, Z Cai, B Qin, L Deng - Computer Communications, 2020 - Elsevier
Measurement bias or drift often occurs after long-term use of the sensor. Measuring faults
will inevitably mislead the control system, making the goal of advanced control strategies …
will inevitably mislead the control system, making the goal of advanced control strategies …
Sensor fault diagnosis based on discrete wavelet transform and BP neural network
Q Liu, X Jiang - Sensors for Harsh Environments II, 2005 - spiedigitallibrary.org
Sensor technology is one of three major pillars of the modern information technology. With
the extensive application of sensor, the dependability of the sensor is paid more and more …
the extensive application of sensor, the dependability of the sensor is paid more and more …
Abrupt sensor fault diagnosis based on wavelet network
H Zhang, T Chen, W Li - 2006 IEEE International Conference …, 2006 - ieeexplore.ieee.org
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient
(slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the …
(slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the …
[PDF][PDF] Intelligent Sensorless Fault Diagnosis of Mechatronics Module
T Kruglova, D Shaykhutdinov, D Shurygin… - Asian Journal of …, 2016 - researchgate.net
This study describes a fault diagnosis system for mechatronics modules realized through the
combination of wavelet transformation, fuzzy logic and neural network techniques. As a …
combination of wavelet transformation, fuzzy logic and neural network techniques. As a …
Study on fault detection using wavelet packet and SOM neural network
X Tao, Z Wang, J Ma, H Fan - … of the IEEE 2012 Prognostics and …, 2012 - ieeexplore.ieee.org
Successful fault detection is based on effective feature exaction and selection processes.
Feature map is one of the current fault diagnosis methods. By continuously tracking the …
Feature map is one of the current fault diagnosis methods. By continuously tracking the …
Wavelet neural networks based fault diagnosis of analog circuit
L Xiaoqin, W Dazhi - 2012 24th Chinese Control and Decision …, 2012 - ieeexplore.ieee.org
The fault diagnosis of analog circuits has made many ways, such as the fault dictionary
method, device parameter identification method and so on. However, due to the diversity of …
method, device parameter identification method and so on. However, due to the diversity of …
Fault diagnosis for sensors in air handling unit based on neural network pre-processed by wavelet and fractal
Y Zhu, X Jin, Z Du - Energy and buildings, 2012 - Elsevier
This paper presents a new fault diagnosis method for sensors in an air-handling unit based
on neural network pre-processed by wavelet and fractal (NNPWF). Three-level wavelet …
on neural network pre-processed by wavelet and fractal (NNPWF). Three-level wavelet …
Mechanical fault diagnosis and signal feature extraction based on fuzzy neural network
J Ruijuan, X Chunxia - 2008 27th Chinese Control Conference, 2008 - ieeexplore.ieee.org
To improve the limitation of applying traditional fault diagnosis method to the diagnosis of
multi-concurrent vibrant faults of aeroengine, a new diagnosis approach combining the …
multi-concurrent vibrant faults of aeroengine, a new diagnosis approach combining the …