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In this paper, SDA (stacked denoising auto-encoders) model is introduced to solve the aero-engine sensor fault diagnosis problem. This model uses the principle of greedy layer-wise unsupervised training to initialize the network weight, then uses backpropagation algorithm to optimize the network parameters. This model applies SDA to extract features from aero-engine sensor fault signal and softmax...
The contribution of this paper is to prove the equivalence of the conditional distribution item and the item of MYT (Mason Young Tracy) decomposition (a decomposition method of the T2 statistic) in fault isolation and root cause identification. The experiment results verified its equivalence. Fault isolation is done by using the dependency between variables in Bayesian network, and using this technique...
In accordance with the actual demands of monitoring system for oil and gas pipeline, for instance, long transportation distance and many distributed stations, a kind of monitoring system based on the S7-400 series PLC and PROFIBUS field bus was designed and realized in this article. It has the characteristics of the following: supporting multi-master station, excellent real time, high reliability,...
The stabilization and trajectory tracking problems of autonomous airship's planar motion are studied. By defining novel configuration error and velocity error, the dynamics of error systems are derived. By applying Lyapunov stability method, the state feedback control laws are designed and the close-loop error systems are proved to be uniformly asymptotically stable by Matrosov theorem. In particular,...
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