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Airborne fuel pump is an important part of aircraft fuel system, for the lack of fault samples, low diagnostic efficiency and high maintenance cost, in order to achieve more accurate and reliable fault diagnosis of airborne fuel pump, an experimental platform of fuel transfusion system is developed and a fault diagnosis method based on empirical mode decomposition (EMD) and probabilistic neural networks...
We report on progress in realization of packaged RF photonic oscillators based on Kerr optical frequency comb generated in ultra-high Q crystalline whispering gallery mode resonators. Various regimes of operation of the oscillators and possible ways of their stabilization are reviewed. Properties and specifications of a turn-key oscillator prototype created at OEwaves are discussed. New regimes for...
This paper develops intelligent control for a diaphragm-type pneumatic vibration isolation (PVI) system. Functional approximation technique (FAT) is integrated with sliding-mode control design to capture unknown system dynamics and release the requirement of mathematical modeling. To deal with approximation error and system dynamics variation, an adaptive fuzzy sliding-mode controller (AFSMC) is employed...
Rolling element bearing is one of the most important and common components in rotary machines, whose failures can cause both personal damage and economic loss. This paper focuses on condition monitoring and fault diagnosis of rolling element bearing in order to detect the failure ahead of time and estimate the fault location accurately when failure occurs. Wavelet energy entropy is introduced into...
This paper presents an incipient machine degradation assessment method based on multifractal theory and Mahalanobis-Taguchi system (MTS), which help to differentiate the incipient fault stage and assess the degradation degree as well. According to different machine degradation states, the feature parameters from multifractal aspects are first calculated and further optimized by a MTS statistical method,...
Reciprocating compressor is the key equipment in the process of industry production such as oil refinery, chemical plants and so on. The traditional maintenance management model is the fire type which results in the lower reliability, lower availability and lower safety. In this paper, in order to reduce the uncertainty of maintenance, the number of system failures and failure effects, as well as...
To monitor the initial failure of cooling fan's rolling bearing, this paper reviews the theory of autoregressive (AR) model and the minimum entropy deconvolution (MED) filtering technique. The AR method can remove the deterministic components of the original signal, and the MED filter could reduce the effect of the transmission path. These two filtering techniques were combined in this paper to pre-process...
A reliable and accurate analytical model is desired for the printed circuit board (PCB) with IC package to predict the system response due to loadings such as shock and vibration simulation or even with thermal effect. This work addresses the procedure of model verification by the adoption of experimental modal analysis (EMA) to validate the finite element (FE) model constructed by FE commercial software...
The printed circuit board (PCB) subject to vibration and thermal couple loading is of great interest. This work presents both theoretical analysis and experimental verification for the PCB in heating condition subject to random vibration. The designed heating pad is used as the heating source attached to the package on PCB by providing constant temperature inputs. The calibrated finite element model...
The rotation mechanical vibration system is a certainty complex nonlinear system, in this paper, we research this system based on chaotic theory, the nonlinear rotation system will be in chaotic state when the rotation speed changed, the dynamic behavior of the system at stable oscillation, according to the values of frequency and amplitude of the steer signal, we can get the basic character s of...
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