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Henryk Borowczyk

The Combinatorial Diagnostic Entropy and Symptoms' Informativity

This paper presents combinatorial measures of the system condition uncertainty (diagnostic entropy) and the diagnostic symptoms' informativity. The multi-valued diagnostic model has been assumed. Proposed measures can be used in the manner similar to Shannon entropy use for the diagnostic model analysis and the diagnostic algorithm planning process.

Open access

Henryk Borowczyk

Abstract

The paper presents a method of creating a multi-valued diagnostic model using Wigner-Ville transformation of vibroacoustic signals measured on a real object. The result is a transformation matrix in which the rows correspond to the frequencies F and the column - times T of successive samples of the signal. Integer coding involves assigning values to the coefficient specified range of real numbers one integer. After applying the coding a multi-valued diagnostic model is obtained. The model describes the relationship between a set of significant frequencies, rms values of Wigner-Ville transform’s coefficients, and a set of diagnosed object failures.

Open access

Henryk Borowczyk

Abstract

The method of a multi-valued diagnostic model synthesis using discrete wavelet transform is presented. The method's algorithm consists of three stages: (1) - signal decomposition into low- and high frequency parts - approximations and details, (2) - approximations and details parameterization, (3) - multi-valued encoding parameters obtained in stage 2. The method is illustrated with vibroacoustic signal in real life experiment. The multi-valued diagnostic model is the final result.

Open access

Henryk Borowczyk, Józef Błachnio and Jarosław Spychała

Abstract

The paper presents the concept of using the Scopus as a meta-source of knowledge about turbine blade damage in the aspect of designing an expert diagnostic system. In the first stage, the search was limited to the scope of the general term “turbine engine”, followed by a refinement of the search terms within the area of rotary machines components degradation including their construction, manufacturing, repair technology and diagnostic methods. By using EndNote software in semi-automatic mode, specific issue groups have been designated. In the second stage, a query focused on the main causes of turbine blade damage and diagnostic methods was proposed. Using the Scopus-based search and archiving tools, one can systematically update the knowledge.

Open access

Henryk Borowczyk, Paweł Lindstedt and Jerzy Manerowski

A Method of Parametric Evaluation of The Technical Object Reliability

This work presents a practical and effective method to evaluate the reliability status of an object basing on the observation of changes in its functioning (automatics) and its technical condition (diagnostics). It has been observed that changes of the functioning condition potential could serve to determine the symptoms of transient (momentary) damages and the changes in the potential of the technical condition to determine the symptoms of parametric damages (non-total). Such an information, as it turns out, is sufficient to calculate reliability characteristics before dangerous catastrophic damages occur and to calculate reliability characteristics for every single object without having to deal with a numerous set of objects. The presented computer-aided method can be of a substantial practical importance in coordination of adjusting/control functions, diagnostics and reliability actions and thanks to that it can improve the level of organisation of a system operation.

Open access

Lindstedt Paweł, Zboiński Marek, Deliś Maciej and Borowczyk Henryk

Abstract

Measurements of signals received from ambient environment is a difficult task for technical diagnostics and becomes even infeasible in a series of cases. It is why the issues related to elimination of ambient factors from the identification process of diagnostic thresholds are truly justified. The method for elimination of environment impact is disclosed in this paper and consists in displacement of a specific set of measured diagnostic parameters (the initial set) in relation to the subsequent set of diagnostic parameters (the target set). Then the square of amplitude gain and the phase shift are calculated for these two mutually shifted data sets, which makes it possible to evaluate “cohesion” density of results obtained for diagnostic signals and thus their suitability for calculation of diagnostic thresholds. The method is characterized by the peculiarity that it takes account for ambient “environment” with no need to measure its parameters [6, 7, 8, 12, 13, 14].

Open access

Paweł Lindstedt, Edward Rokicki, Henryk Borowczyk and Paweł Majewski

Ocena Stanu Technicznego Łopatki Maszyny Wirnikowej w Procesie Użytkowania z Eliminacją Sygnału Otoczenia

W artykule przedstawiono podstawy nowej metody monitorowania stanu technicznego łopatek maszyn wirnikowych podczas ich użytkowania. Metoda wykorzystuje model diagnostyczny w postaci ilorazu wzmocnienia amplitudowego sygnału diagnostycznego y(t) wynikającego z działania łopatki i sygnału x(t) jej otoczenia podczas zbliżania się wierzchołka łopatki do czujnika i wzmocnienia amplitudowego tych sygnałów podczas oddalania się wierzchołka łopatki od czujnika

Przyjęty model diagnostyczny pośrednio uwzględnia aktualne otoczenie łopatki x(t) bez konieczności jego pomiaru [12, 14, 15]. Zatem jest on czuły na zmiany stanu technicznego łopatki, a mało wrażliwy na zmianę otoczenia. Proponowana metoda może odegrać istotną rolę w diagnostyce łopatek wirnikowych podczas ich użytkowania.

Open access

Paweł Lindstedt, Edward Rokicki, Henryk Borowczyk and Paweł Majewski

Rotor Blades Condition Monitoring Method Based on the Elimination of the Environment Signal

The paper presents fundamentals of a new method for monitoring of technical condition demonstrated by blades of rotor machines during operation thereof. The method involves the diagnostic model expressed as a quotient of the amplitude amplification for the diagnostic signal y(t) that results from the blade impact and the signal x(t) produced by the blade surrounding when the blade tip approaches the sensor, divided by the amplitude amplification of these signals when the blade tip has already passed the sensor position and moves away.

The adopted diagnostic model takes account for current surrounding of the blade x(t) with no need of measurements of its parameters [12, 14, 15]. Thus, the model is sensitive to alterations of the technical condition demonstrated by the blade but very little vulnerable to variations in the blade surroundings. Consequently, the proposed method may be able to play an important role for diagnostics of rotor blades during operation thereof.