- HOME
- 홈페이지 이용안내
논문 기본정보
고분자 전해질 연료전지용 막가습기의 상대습도 추정을 위한 소프트센서 개발
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 한국수소 및 신에너지학회 논문집 = Transactions of the Korean Hydrogen and New Energy Society |
| ISSN | 1738-7264, |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | 한인수,신현길 |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2014-01-01 |
| 초록 | It is important to accurately measure and control the relative humidity of humidified gas entering a PEM (polymer electrolyte membrane) fuel cell stack because the level of humidification strongly affects the performance and durability of the stack. Humidity measurement devices can be used to directly measure the relative humidity, but they cost much to be equipped and occupy spaces in a fuel cell system. We present soft sensors for predicting the relative humidity without actual humidity measuring devices. By combining FIR (finite impulse response) model with PLS (partial least square) and SVM (support vector machine) regression models, DPLS (dynamic PLS) and DSVM (dynamic SVM) soft sensors were developed to correctly estimate the relative humidity of humidified gases exiting a planar-type membrane humidifier. The DSVM soft sensor showed a better prediction performance than the DPLS one because it is able to capture nonlinear correlations between the relative humidity and the input data of the soft sensors. Without actual humidity sensors, the soft sensors presented in this work can be used to monitor and control the humidity in operation of PEM fuel cell systems. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201433150757577 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
|---|---|
| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | 소프트센서,부분최소자승법,지지벡터머신,가습기 모델링,가습도,연료전지,Soft Sensor,Partial Least Squares,Support Vector Machine,Humidifier modeling,Humidity,Fuel cell |