인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
In the present study, refrigerant noise generated from an air-conditioning unit in operation was characterized as water, sha or gas sound by jury testing and was diagnosed and classified by logistic regression which was performed with objective sound quality parameters. A chi-square test was conducted to find parameters that influenced the probability for refrigerant noise to occur, and with the coefficient for each parameter, the study diagnosed the effects of objective sound quality parameters on the probability of refrigerant noise occurring. The normalization of units was carried out to identify the relative influence of each parameter on the probability of such noise occurring. Further, re-logistic regression was performed with parameters selected by the chi-square test. Probability-based optimal cutoff values were determined for the classification of water, sha and gas sounds. Air-conditioning refrigerant noise was definitely classified by taking into account the logistic regression and cutoffs. New experiments on the generation of refrigerant noise were conducted to validate the logistic regression classification. Data obtained from the experiments was classified at an accuracy level of 93.9 percent.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-539-002016385
