Diagnostic Systems For Energy Equipments
Artur O. Zaporozhets, Mykhailo V. Myslovych, Serhii V. Babak, Valeriy M. Zvaritch, Vitalii P. Babak
Springer Nature Switzerland AG, 2020
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In this regard, it analyzes mathematical models of diagnostic signals that arise during the operation of power equipment; presents diagnostics methods for selected types of electric power and heat engineering equipment; and covers a range of diagnostic and monitoring systems and devices for power equipment.
- ISBN-13
- 9783030444426
- ISBN-10
- 3030444422
- Publisher
- Springer Nature Switzerland AG
- Year
- 2020
- Publication date
- 2020-03-20
- Pages
- 133
- Dimensions
- 235x155x