Analysis of Signals Pre-processing Algorithm in Case οf Hardware and Software Implementation οn Diagnostic Programmable Device PUD-2

Abstract

In the paper, two-stage signal pre-processing algorithm based on the ltration is presented. The developed algorithm is dedicated for the diagnostic programmable device PUD-2. The PUD-2 is the real-time analyzer based on programmable logic devices FPGA, as well as on ARM processor. Application of FPGA programmable devices and ARM processors allows to merge advantages of hardware and software implementations. Further, analysis of digital lters parameters in case of its ecient realization on the FPGA is presented. The aim of the study is to select digital-lter parameters in such way that the available resources of FPGA are used eciently and lter characteristics meet established criteria. In the study, low pass nite impulse response and innite impulse response lters are compared. For the rst stage of the signal pre-processing algorithm, hardware implementation of the innite impulse response lter is proposed, contrary to the second stage, where software realization of the nite impulse response lter is suggested. Combination of hardware and software ltration algorithms allows for fast and ecient realization of signal pre-processing algorithm used in analysis carried out on the PUD-2.

A signal pre-processing algorithm designed for the needs of hardware implementation of neural classifiers used in condition monitoring

“…The analysis of fixed-point notation on the filter parameters was presented by the author in Refs. [32][33][34][35][36]. In this study, it was found that there is a correlation between filter coefficient accuracy and cut-off frequency, i.e.…”

“…Additionally, in Ref. [32] the low-pass FIR and IIR filters were compared in order to observe the influence of the digits of precision on their parameters for other cut-off frequencies.…”

“…In the analysis, the Inverse Chebyshev filter with an order of 8 and a FIR fitter designed by the window method (Hamming) with an order of 500 were chosen. The type and order of filters were selected on the basis of results presented in a previous study [32,33] and to fulfill criteria presented in the previous paragraph. In Fig.…”

Analysis of Simplifications Applied in Vibration Damping Modelling for a Passive Car Shock Absorber

“…Laboratory experiments are more repeatable than onroad driving sessions, whereas laboratory tests enable cost reduction and may be performed more rapidly [6][7][8][9]. The shock absorber is one of the most nonlinear and complex elements to model.…”