| Autor: |
Boykov Vladimir, Povarecho Aleksandr |
| Jazyk: |
English<br />French |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 182, p 01007 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201818201007 |
| Popis: |
This paper presents selected problems connected with automation of procedures involved in assessment of machine degradation degree using vibration method with special emphasis on the machine state prognosis. The current knowledge of these problems is not sufficient and needs further research on data processing, analysis of efficiency of diagnostic and prognostic procedures, collection and selection of diagnostic parameters and development of automatic procedures for recognition and prognosis of a machine state. New solutions and different aspects of diagnostic prognosis based on the proposed partial procedures focus on factors determining automation of procedures for identification of technical systems states. New automated procedures for acquisition and processing of symptoms indicating the machine state provide better possibilities of control and supervision of technical systems operation and maintenance through identification of their current states, and its good prognosis. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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