The radar equipment prognostic and health management (PHM) system evaluation index system is the foundation for the construction of the radar equipment health management system, and the construction of a scientific and reasonable index system helps to improve the quality of the construction of the health management system. This article takes radar equipment as the research object, combines the characteristics of radar equipment systems, uses tree analysis technology to analyze key issues, proposes the overall requirements for validation evaluation, constructs an initial index system for system evaluation, and studies the standardization of evaluation indicators and the classification of system evaluation levels, which can provide a methodological reference for the construction of radar equipment PHM system evaluation index 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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