In the paper new methods of fault localisation and identification in linear electronic circuits (two-port or multiport type) based on bilinear transformations in multidimensional spaces are presented. The novelty of these methods lies in transferring family of identification loci from a plane to multidimensional spaces. It implies greater distances between the loci and, in consequence, better fault resolution as well as robustness against non-faulty component tolerances and measurement errors. The methods can be used for diagnosis of electronic circuits in conventional testing systems and neural networks. They may be also useful in one or two-parameter identification measurements of other multi-parameter objects modelled by electrical circuits.

The system for production testing of high reliability interference suppressor capacitors have been presented. The noise level and non-linear distortions in capacitors can be established as a new criteria for reliability selection of interference suppressor capacitors. New tasks (measurement of third harmonic and noise) and their realization in the system have been proposed. It can improve the process of quality estimation of high reliability capacitors.

The aim of our study is to create a computer diagnostic system (CDS) for breast cancer (BC) recognizing.
As a software diagnostic tool we have used Fahlman’s cascade correlation neural network (FNN). The FNN was trained by the vector of features – parameters extracted from mammographic images of healthy tissue (H), tissue with benign (BT) and malignant tumour (M).
To prepare digital data for the NN new, original methods of transformation the mammograms were proposed: Algorithm of Summing up the Rows (ASR) operating on the binarized picture, and analysis of extracted features from Region Of Interest (ROI).
There were lots of parameters optimized in previous research; in this work we present discussion of the level of image binarization in ASR method, and discussion of shape, size and number of analyzed features in ROI method.
As the input data for neural network decision making system we have used six parameters calculated from a region of interest (ROI method), and four parameters calculated by the “summing up the rows algorithm” (ASR). We have used all mentioned parameters to create the best combination of features and find the best representative vector, and get the highest correctness of recognition.
The final diagnostic system could us obtain correctness of the mammogram interpretation about 92% for healthy tissue, 89% for benign and 91% for malignant tumors.

Today’s complex manufacturing systems operate in a changing environment rife with uncertainty strengthening the requirement for developing production systems with the ability of self adaptation. Market competition forces production firms to work more and more efficiently. As a consequence, continuously increasing material removal rate and flexible automation tools, without active human supervision can be observed as trends also in the metal cutting industry. Monitoring the chip breaking process is one of the important factors for automated supervision. The paper presents artificial neural network (ANN) based models for identifying the cutting chip form based on measured monitoring data.

Measurement and control systems are essential in industrial applications. They are used to control and automate all kinds of processes during production. Their use in private homes is not so obvious due to the fact that the requirements are totally different. Although there are systems to connect sensors and actuators inside buildings using fieldbus technology they are only used for simple tasks like switching light and controlling the heating installation.
Through a gateway it is possible to build tele-services that allow any kind of maintenance by the inhabitants or service personal. The service personal will be able to run diagnostics on parts of the system as far as allowed (heat control, failure analysis on certain devices, surveillance, etc.). The access has to be restricted to prevent unauthorized persons to intrude the system.
This work will describe the gateway and the concepts used to share well defined services that are provided to users remotely and locally.