Showing papers by "California Department of Transportation published in 1993"
TL;DR: In this article, a new approach for the diagnosis of bearing defects has been utilised using Artificial Neural Networks (ANNs) for various kinds of bearing defect detection using the features selected for this purpose were: the average of the top five values of amplitude in the high frequency region (5 kHz-22 kHz), the peak value of the amplitude in high-frequency region, the average number of values in the prime spike region (340 Hz-3262 Hz), the autocorrelation function in the PMR, the auto-correlation function, and the cepstr
Abstract: A new approach for the diagnosis of bearing defects has been utilised. Artificial neural networks (ANN) were employed for the diagnosis of various kinds of bearing defects. The features selected for this purpose were: the average of the top five values of amplitude in the high-frequency region (5 kHz-22 kHz), the peak value of the amplitude in the high-frequency region, the average of the top five values in the prime spike region (340 Hz-3262 Hz), the autocorrelation function in the prime spike region, the autocorrelation function in the high-frequency region, and the cepstrum function in the high-frequency region.
21 citations
TL;DR: In this article, a stiffness modification factor based on the current alignment charts put forward by the US National Codes was developed for those framed columns restrained by tapered rectangular girders with different far end conditions to enhance the versatility of the present charts in computing effective length factors.
4 citations
TL;DR: A prototype, automated data acquisition system that was developed to support an integrated project management system is discussed, composed of an integrated set of electronic forms used in conjunction with a bar coding data-entry tool.
3 citations