This paper examines the possibility to set up standardized sampling strategies for circular features, which are tolerated according to the international system of limits and fits. The measuring process is simulated by a mathematical model and the sampling strategy derived for various measurement conditions. One important aim of the proposed model is to control the measurement uncertainty of the measurement process within certain limits of the feature tolerance. To do so the measurement uncertainty is esti-mated according to international standards. The model of the estimation process...
In the paper, results of substantiating analysis of the possibility application the frequent-independent two-terminals as zero measuring circuit are shown. It allows to determine not only reactive parameters, but also active resistances. Sensitivities of such measuring circuit are determined. Meter functional diagram and its usage are described.
This paper presents a temporal information modeling and describes its use in the context of intelligent instruments. First, we propose an information modeling for the use of measurement information that takes into account the response time. This model offers the advantage of computing the uncertainty associated with the information. Information can be obtained from several sources. From the proposed model, the uncertainty associated with information coming from each source is computable at any time. We present a structure that makes it possible to use the knowledge of a consumer needs in...
The paper presents the extended intrinsically safe systems of temperature monitoring which use heavy duty temperature cables with intelligent sensors. . Intelligent sensors are connected in unique 1-Wire interface. Similarly, other sensors detecting humidity, flow on base 1-Wire interface, may be controlled in this system. These systems are applicable to grain elevators and cooperation objects in the same storage, for example: silos batteries, horizontal storages and others. In these large-area objects there are many independent computer stations cooperating with the central station....
The mathematical model of an acoustic wave field in the measuring cavity of pressure calibrator is established. Two ways to the problem solution are posed. The system of two neural networks – RBF and perceptron – is applied to the working hole optimization and the wave field approximation. This new approach based on neural networks methodology seems to be adequate, effective and powerful: it is weakly sensitive to some entrance data perturbation, it gives trained neural networks for a set of problems solution, it is possible to use the same ideas in case of nonlinearity modeling.
The Expert System, which is described in this paper, constitutes a fundamental unit of a general measurement system, which is capable to perform an xDSL (arbitrary Digital Subscriber Line) loop qualification by means of time-domain reflectometry (TDR). The goal of the measurement system is to estimate the theoretical channel capacity of the local loop, which con-nects the customer premises (CP) to the central office (CO), based on TDR (time-domain reflectometry) measurements and noise PSD (Power Spectral Density) measurements at the CO. These measurements are processed using advanced digital...
Distributed processing of measurement results poses a number of challenges. Among important requirements are security, performance, robustness and ability to withstand network failures, need for flexibility and elegance of a proposed solution. We propose a novel approach to distributed processing, which capitalises on locality of data access. We propose a distributed software architecture that leverages a flexible consistency checking engine and takes advantage of software agency features in order to meet the mentioned distributed processing requirements.
Some practical aspects concerning design of intelligent concentration meters for heterogeneous liquid media are considered. Multi-sensor turbidimeters with artificial neural networks (ANN) are proposed as examples of devices in which high functional reliability and long service life time are provided due to elements of Artificial Intelligence (AI).
This research investigates the problem of the movement classification by surface myoelectrical signals (MES), used for electromyographical (EMG) control of powered upper limbs, and also for biometric identification of the person. On of the solutions in this task is using pattern recognition approach. In this case the success of the myoelectric control scheme depends largely on the classification accuracy. The main target of the research was comparison of various neural network classifiers, such as multi layer perceptron with back-propagation learning algorithm (BPG), neural networks with...
The need for efficient and reliable tools for programming of CNC coordinate measuring machine is rapidly increasing in modern production. The proposed concept based on genetic algorithms assures generation and optimisation of NC measuring programs for measuring machine. Therefore the structure, undergoing simulated evolution, is the population of NC measuring programs. The NC measuring programs control the tactile probe, which performs simple elementary motions in the discrete measuring area. During the simulated evolution the probe movement becomes more and more optimised and intelligent...