![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions
In reality, the inputs and outputs of many complicated systems are time-varied functions. However, conventional artificial neural networks are not suitable to solving such problems. In order to overcome this l...
-
Chapter and Conference Paper
Approximation Capability Analysis of Parallel Process Neural Network with Application to Aircraft Engine Health Condition Monitoring
Parallel process neural network (PPNN) is a novel spatio-temporal artificial neural network. The approximation capability analysis is very important for the PPNN to enhance its adaptability to time series pred...
-
Chapter and Conference Paper
Aeroengine Turbine Exhaust Gas Temperature Prediction Using Support Vector Machines
The turbine exhaust gas temperature (EGT) is an important parameter of the aeroengine and it represents the thermal health condition of the aeroengine. By predicting the EGT, the performance deterioration of t...
-
Chapter and Conference Paper
Engine Testing Fault Classification Based on the Multi-class SVM of Auto-regression
In connection with the problem of lack of an effective method for vibration fault diagnose of aero-engine during the testing process in test cell, this paper proposed a classification method for aero-engine’s ...
-
Chapter and Conference Paper
Research on Positioning of Mobile Robot with Manipulator Arm for Machining of Large Cabin Support in Original Position
The processing of large-scale cabin support parts for manned spaceflight requires repeated installation, processing and measurement, resulting in low processing efficiency and poor processing accuracy. This pa...