کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
792685 1466402 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sensitivity analysis for PCA-based chiller sensor fault detection
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Sensitivity analysis for PCA-based chiller sensor fault detection
چکیده انگلیسی


• The undetectable boundary is presented for PCA-based sensor fault detection.
• The lower the standard deviation of original sensor is, the better detection ability it will have.
• Sensor's undetectable boundary is demonstrated by algebraic method.

This paper presents an algebraic solution of erroneous sensor's undetectable boundary to evaluate the sensitivity of chiller sensor fault detection based on principal component analysis. Q-statistic of PCA is normally applied as a collective statistical index to detect sensor fault by comparing its value with the threshold. However, Q-statistic has no specific physical meaning and cannot evaluate the sensitivity of the provided method for sensor fault detection. We analyzed the definition of Q-statistic and derived the numerical value of the minimum range not to detect sensor fault. Bias sensor fault of a fielded screw chiller was studied for each sensor in PCA model by introducing different severity levels. Results showed that each sensor has different fault detection sensitivity using the same PCA model. The undetectable boundary can be a criterion used to evaluate the detection sensitivity of PCA-based method easily.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Refrigeration - Volume 63, March 2016, Pages 133–143
نویسندگان
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