The application of echo state network and recurrent multilayer perceptron in rotating machinery fault prognosis

2016 ◽  
Author(s):  
Yuan Xie ◽  
Tao Zhang
Keyword(s):  
Multilayer Perceptron ◽  
Rotating Machinery ◽  
Echo State Network ◽  
Fault Prognosis ◽  
Recurrent Multilayer Perceptron

scholarly journals Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Xiaoni Dong ◽  
Xiaodong Zhang ◽  
Zaichao Ma ◽  
Guangrui Wen ◽  
Zhifen Zhang
Keyword(s):  
Spatial Representation ◽  
Three Dimensional ◽  
Data Representation ◽  
Rotating Machinery ◽  
Process Models ◽  
Sensor Data ◽  
One Dimensional ◽  
Time Domains ◽  
Fault Prognosis ◽  
Representation Method

Process models and parameters are two critical steps for fault prognosis in the operation of rotating machinery. Due to the requirement for a short and rapid response, it is important to study robust sensor data representation schemes. However, the conventional holospectrum defined by one-dimensional or two-dimensional methods does not sufficiently present this information in both the frequency and time domains. To supply a complete holospectrum model, a new three-dimensional spatial representation method is proposed. This method integrates improved three-dimensional (3D) holospectra and 3D filtered orbits, leading to the integration of radial and axial vibration features in one bearing section. The results from simulation and experimental analysis on a complex compressor show that the proposed method can present the real operational status and clearly reveal early faults, thus demonstrating great potential for condition-based maintenance prediction in industrial machinery.

Sexual Preference Classification from Gaze Behavior Data using a Multilayer Perceptron

2006 ◽  
Author(s):  
S. Chartier ◽  
P. Renaud ◽  
S. Bouchard ◽  
J. Proulx ◽  
J. L. Rouleau ◽  
...  
Keyword(s):  
Multilayer Perceptron ◽  
Sexual Preference ◽  
Gaze Behavior
Sign in / Sign up

Export Citation Format

Share Document