SIMULATION STATISTICAL ANALYSIS OF PARAMETERS OF ENGINEERING PROCESSES ON VESSELS FOR PREDICTION OF RELIABILITY OF EQUIPMENT
This article deals with questions of reliability and quality of the vessel electromechanical equipment regarding implementation of functional diagnostics and risks prediction based on the statistical model of the theory of reliability. Implementation of this approach will allow to make more effective management decisions in comparison with traditional practice to react to already happened failures of the equipment. At the same time continuous statistical processing of key parameters of the equipment shall be performed directly on board the vessels and provide accumulation of data of all events for the analysis of dangerous tendencies of their changes. This statement corresponds requirements of the Russian Maritime register of shipping to the vessel diagnostic system. To achieve this there are full range of digital sensors and the appropriate computing resources for processing information from this sensors onboard. Also there are onboard information systems for transferring data to operators, adjacent systems for automated control, blackboxes and other users. However it is necessary to provide the crew of the vessel with results of statistical processing of the current parameters of the equipment taking into account an analysis of previous measured data. This article deals with methods of storage of this data in “statistically packed” type and machine methods of processing of this data. Objective instrument control and automatic prediction of dangerous tendencies in technical conditions of vessel equipment will provide a management of the ship-owning companies and crews with a possibility of planning of the current tasks of maintenance, including use of vessels for the intended purpose and execution of repair works by the actual state of the equipment. Besides, safety of navigation will increase, terms and cost of maintenance of vessels will decrease. This research area is especially important for vessels of the Arctic navigation area, which have increased requirements to survivability and safety of navigation and functioning of the equipment in the severe environment and considerable remoteness from the coast.