Search Results - subject:"Gross Error Detection"

Data reconciliation and gross error detection for operational data in power plants

Jiang, Xiaolong; Liu, Pei; Li, Zheng - In: Energy 75 (2014) C, pp. 14-23

detection together with a statistical test method. In this work, we provide a mathematical framework for gross error detection … generalized normal distributions. We then provide a case study where gross error detection is performed together with a global … can improve the accuracy of measured data through process modeling and optimization, and can also be used for gross error …

Persistent link: https://www.econbiz.de/10011054089

Gross error isolability for operational data in power plants

Jiang, Xiaolong; Liu, Pei; Li, Zheng - In: Energy 74 (2014) C, pp. 918-927

Power plant on-line measured operational data inevitably contain random and gross errors. Data reconciliation is a data preprocessing technique, which makes use of redundant measured data to reduce the effect of random errors, and identify gross errors together with a statistical test method....

Persistent link: https://www.econbiz.de/10011054218

Data Reconciliation for power systems monitoring: Application to a microturbine-based test rig

Martini, A.; Sorce, A.; Traverso, A.; Massardo, A. - In: Applied Energy 111 (2013) C, pp. 1152-1161

In this study the techniques of Data Reconciliation and Gross Error Detection have been applied to a microturbine …

Persistent link: https://www.econbiz.de/10011040400