Abstract

Deadband algorithms are implemented inside industrial gateways to reduce the volume of data sent across different networks. By tuning the deadband sampling resolution by a preset interval Δ , it is possible to estimate the balance between the traffic rates of networks connected by industrial SCADA gateways. This work describes the design and implementation of two original deadband algorithms based on statistical concepts derived by John Bollinger in his financial technical analysis. The statistical algorithms proposed do not require the setup of a preset interval—this is required by non-statistical algorithms. All algorithms were evaluated and compared by computing the effectiveness and fidelity over a public collection of random pseudo-periodic signals. The overall performance measured in the simulations showed better results, in terms of effectiveness and fidelity, for the statistical algorithms, while the measured computing resources were not as efficient as for the non-statistical deadband algorithms.

Highlights

  • Statistical methods in manufacturing procedures for quality control were investigated by Friedman [1]

  • The absolute deadband (AD) schema is known in the signal processing literature as conventional send-on-delta (SoD) in order to differentiate it from the other algorithm variants [8]

  • In order to compare the overall performance of the algorithms, we developed an R package, named deadband, to compute each algorithm over a preloaded time series in a defined time interval

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Summary

Introduction

Statistical methods in manufacturing procedures for quality control were investigated by Friedman [1]. The statistical and temporal properties of crossings at a certain level by random signals in manufacturing process control were first with the send-on-delta sampling scheme by Ellis [2,3]. The absolute deadband (AD) schema is known in the signal processing literature as conventional send-on-delta (SoD) in order to differentiate it from the other algorithm variants [8]. It is considered deterministic because it requires a preset interval of oscillations where the signal should be limited a priori

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