Prediction methods for technical condition of shipboard power machinery

• Main Authors: Yuri N. Myasnikov, Vladimir S. Nikitin, Alexander A. Ravin, Oleg V. Khrutsky
• Format: Article
• Language: English
• Published: Krylov State Research Centre 2018-10-01
• Series: Труды Крыловского государственного научного центра
• Subjects: LOCA; containment; emergency depressurization systems; sprinkler; barbotage; condensation subsystems; sprayer; efficiency of emergency depressurization subsystems; KUPOL-MT
• Online Access: http://transactions-ksrc.ru/eng/archive/Prediction-methods-for-technical-condition-of-shipboard-power-machinery/

Object and purpose of research. This paper studies power generation machinery of ships. The purpose of research is to justify information support of applying an advanced strategy of equipment maintenance based on its actual technical condition. Materials and methods. Input data for this study are scientific & technical information and experimental results dealing with efficiency analysis of prediction methods and algorithms for technical condition of equipment based on monitoring of its performance parameters, as well as on diagnostics of the units that restrict its operational reliability. The study also relies on personal findings of the authors and many years of their R&D experience in improvement of maintenance strategies and operational reliability enhancement for ship equipment. Main results. This study analyzed specifics and functional capabilities of several methods used to predict technical condition of power & mechanical equipment and assess its residual lifetime, in order to justify selection of their application areas. Conclusion. It is shown that advanced maintenance strategy for equipment based on its actual technical condition should always rely on damage assessment of its most loaded and important units and parts, as well as on prediction of their possible changes during the forthcoming operation period. The conclusion of the whole study is that monitoring of parameters describing quality, reliability and operability of equipment at all stages of its life cycle must be performed systematically. Integrated application of technical diagnostics methods and residual lifetime assessment algorithms reduces the number of failures and optimizes equipment maintenance.