KEYWORDS: Reliability, Decision support systems, Data acquisition, Data mining, Design and modelling, Data storage, Data conversion, Radar, Sensors, Analytical research
Modern radar has the characteristics of advanced technical system, multiple structural units, complex functional connections, and long continuous startup time, which requires high mission reliability. Fault prediction and health management technology can further improve the mission reliability of equipment while improving the inherent reliability of equipment through online monitoring of equipment status, real-time fault prediction and diagnosis, It is an important guarantee to improve the combat capability of equipment. Starting from the overall research requirements of modern radar, this paper demonstrates and analyzes the requirements of modern radar health management system, clarifies the system function composition, and proposes the system architecture scheme, with a view to providing a reference for the follow-up research on related technologies of health management system.
An improved RAKE (Rapid Automatic Keyword Extraction) algorithm is proposed to solve the problems of phrase conglutination and inability to obtain professional words in the process of extracting keywords from Chinese professional texts. Through the TTF-IDF (Total Term Frequency-Inverse Document Frequency) method, professional field stop words are extracted and added to the general stop word dictionary for phrase segmentation. Professional domain entity words are introduced into the general word segmentation dictionary, and appropriate weight is given to them in the degree calculation to ensure that professional entity words get higher scores and are effectively extracted as keywords, because in professional field texts, professional entity words contain more core information. The experiments show that this algorithm is better than the basic RAKE and other algorithms in keyword extraction for Chinese professional field texts.
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