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C. De Capua, C. Landi, N. Polese
ADVANCED MEASUREMENT TECHNIQUES FOR POWER QUALITY ANALYSIS

The evaluation of the impact on power network quality of power electronic converter, such as inverter or adjustable speed drive requires the knowledge of quality indices and the setting-up of suitable measurement techniques for their evaluation.
In the paper, the authors firstly accomplish a description to the indices used for the electrical supply quality characterization; successively they describe an automatic measurement station designed for the evaluation of impact of power electronic equipment on the power quality; finally an original testing procedure, based on ANOVA and fractional factorial techniques, implemented to minimize the amount of measurements necessary to fully evaluate quality indices referred to the electromagnetic behavior of power electronic converters are presented.

G. Bucci, C. Landi
LOW-COST DISTRIBUTED MEASUREMENT STATION FOR POWER QUALITY MONITORING

In the paper a low-cost measurement and control network for power quality monitoring is presented. The architecture is arranged on three hierarchical levels: the fieldbus, the intranet and the Internet. Particular attention has been paid to the lower level which represent the field level, based on the H8/3048F Hitachi microcomputer and linked to a VXIbus device by means of a suited, register based interface. The proposed network has been designed for industrial measurement applications. It can embody a number of analog signal conditioning circuits, processor and communication capabilities, to meet the industrial needs. In the paper, an application of proposed station to power quality monitoring is reported. Experimental results showing the system performance are also included in the paper.

A. Boratyñska, J. Gawlik
METHODOLOGICAL CONCEPTION OF QUALITY COSTS ANALYSIS AND PROGNOSTICATION

One can observe the growing importance of the management through quality in running of business enterprises. In this article, the notion of “quality“ shall mean the quality as perceived by the customer, i.e. the level of fulfilment of customer’s expectations regarding the particular product (i.e. its durability and reliability, aesthetic form, convenience and ease of use, affordable price and other features). From the methodological point of view, management through quality can be considered in categories of three sets. Set (A) shall be determined by the costs of modelling technological quality of product (costs of technical equipment and instrumentation, costs of control, etc.). Set (B) shall contain elements of cost of the irrationally declined quality (costs of the defective products, overlong storage of products, warranty repairs, market price fluctuation, etc.) For the purpose of elimination or alleviation of discrepancies between the two former sets shall serve the third set (C) – containing the essential pro-quality decisions. Set (C) as a set of variable elements may indicate certain qualities of adaptability. Information contained in sets: (A), (B) and (C) could be easily applied in those business enterprises which have already installed their own computerised production management systems. Prognostication, possible after certain period of time of exercising monitoring, should mean extrapolation of the observed tendency. Information on costs pertaining to performing of the particular tasks could be used for the purpose of quality costs prognostication. For accomplishing the objective so defined, we propose to apply neural expert systems.

D. Berndt, C. Steinmann
INSPECTION OF LARGE SOLDERED JOINTS (LASOL)

The LASOL project comprises the development, evaluation and appraisal of a novel automated inspection system specifically designed for large area solder joints (LSJ). The LASOL project started in September 1998 and is co-funded by the Commission of the European Communities, DG XII, under its Brite/EuRam Program with the Project No. BE-4689. Current inspection systems based on grayscale imaging are usually optimized for very small joints (e.g. surface mount). These systems can check for the existence of a joint but provide inadequate information on its condition or quality. The LASOL system utilizes a non-destructive method based on the Coded Light Approach to optically inspect the joint surface in three dimensions. With this method the LASOL team intends to achieve: establishment of generic relations between geometric structures and quality functions (e.g. fluid and gas tightness or mechanical strength); definition of generic rules for process control using geometric measurement data; set-up and validation of an industrial pre-competitive prototype for automated inspection of LSJ’s. Actual results of topography registration, classification and rules of quality assurance of LSJ’s are presented.

D. Barschdorff, H. Haupt
MONITORING OF METAL FORMING BY ACOUSTIC EMISSION

A new method to supervise metal forming processes with acoustic emission signal analysis is discussed. In forming processes the signals are measured under the presence of typical noise and machine induced impulses which complicate an interpretation. A system is defined to filter the signal with an adaptive algorithm and to eliminate disturbing signal components. The method was verified using measurements of a deep drawing process manufacturing cylindrical parts. The results are presented.

B. Andò, G. Giuffrida, N. Pitrone
INTERACTIVE QUALITY EVALUATION FOR LABORATORY SESSIONS

A tool for educational purposes to be used during laboratory sessions on electrical and electronic measurement courses is proposed. It represents an interactive environment for performing measurements and writing technical reports at the same time, using an user-friendly dialogue system. It should be emphasised that the implemented tool is quite different from an automatic measurement system, due to its interactive features. It improves the Quality Management of the educational services provided by electronic measurement laboratories by increasing the quality of typical laboratory interactions, such as theory-practice, laboratory instruments-users and teacher-students. A particularisation of the more general Deming quality theories has been adopted.

X. Yu, J. Yu, H. Wang
METHODS TO AUTOMATICALLY SEPARATE ABNORMAL SIGNAL

Recently, the method of updating process of dynamic testing data is a research focus in measuring field. A method of processing abnormal signal by computer is described in this paper. It can automatically identify and separate abnormal components in dynamic measuring data, and repair original signal properly, to eliminate the effect of abnormal signals to the base character analysis of dynamic testing data.

V. Tuninsky, W. Wöger
PRIOR INFORMATION IN PRODUCT-RATIO MEASUREMENTS

In this paper we consider direct repeated measurements of a quantity R that is defined by the product P1n1 · Pmnm (n1, ... ,nm = ±1 ) of m other quantities. Bayes theorem is applied to obtain posterior estimates of R and Pα (α = 1, ..., n) based on the measurements of R and prior information (estimates, associated uncertainties) about Pα. The paper extends a previous result applicable to a calibration chain with only two elements to chains with arbitrary number of elements.

Z. Szczepanik, Z. Rucki
FAST DATA ACQUISITION SYSTEM FOR IMPEDANCE TOMOGRAPHY

In the paper concept of the measurement (based on the sampling of potential differences during one period of the measuring signal) for impedance tomography data acquisition is described. Proposal of elimination of influence of dc electrochemical potential on data acquisition system is given in the paper as well. Thus suggested method enables increasing the rate of measurement. Results of experiments and image reconstructions confirming authors concept are shown.

F. Russo
A MULTIPLE-OUTPUT NONLINEAR FILTER FOR IMAGE DENOISING

A multiple-output nonlinear filter for impulse noise removal from image data is presented. The proposed technique is based on the subsequent activation of two recursive filtering algorithms that operate on different subsets of input data. As a result, two pixel values are updated at each processing step producing a very effective cancellation of noise pulses. Impulse noise removal is based on rank ordered filtering. A nonlinear mechanism for error correction is also provided in order to avoid detail blur. Validation of the method is carried out by evaluating the quality of the filtered data with respect to two conflicting performance indexes: effectiveness of the noise cancellation and accuracy of detail preservation. Experimental results show that the proposed approach performs significantly better than well-known nonlinear methods in the literature including state-of-the-art operators.

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