AUTOMATIC FAULT NOTIFICATION ROCKET ENGINE HYDROGEN FUEL SYSTEM

Siddharth Kulkarni, Reena Singh, S.B. Chordiya

Research output: Contribution to journalArticlepeer-review

Abstract

Our Research "Automatic Fault Notification Rocket Engine Hydrogen Fuel System" is a ongoing shortcoming determination technique using a versatile hereditary calculation to upgrade a back engendering (BP) brain network is expected to accomplish continuous shortcoming discovery of a fluid rocket motor (LRE). In this paper, the creators utilize a versatile hereditary calculation to improve a BP brain organization, produce ongoing forecasts in regards to sensor information, contrast the extended worth with the genuine information gathered, and decide if the motor is breaking down utilizing an edge judgment component. The proposed shortcoming identification strategy is reproduced and checked utilizing information from a specific kind of fluid hydrogen and fluid oxygen rocket motor. The analysis results demonstrate the way that this strategy can actually analyze this fluid hydrogen and fluid oxygen rocket motor progressively. The proposed strategy has higher framework responsiveness and vigor contrasted and the outcomes got from a solitary BP brain network model and a BP brain network model enhanced by a customary hereditary calculation (GA), and the technique has designing application esteem.
Original languageEnglish
Pages (from-to)196-200
Number of pages5
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume54
Issue number7
DOIs
Publication statusPublished - 15 Jul 2022

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