Power plant condition monitoring by means of coal powder granulometry classification
نویسندگان
چکیده
منابع مشابه
Online Intelligent Condition Monitoring Maintenance Management for Thermal Power Plant
The study seeks to show how online remote condition monitoring helps to improve the maintenance system in a power plant from mainly predetermined and corrective approach to predictive maintenance and, the resultant benefits of its adoption. The findings clearly indicate the various aspects of online remote condition monitoring system which thermal power plants can consider to improve on plant s...
متن کاملClassification of monoids by Condition $(PWP_{ssc})$
Condition $(PWP)$ which was introduced in (Laan, V., {it Pullbacks and flatness properties of acts I}, Commun. Algebra, 29(2) (2001), 829-850), is related to flatness concept of acts over monoids. Golchin and Mohammadzadeh in ({it On Condition $(PWP_E)$}, Southeast Asian Bull. Math., 33 (2009), 245-256) introduced Condition $(PWP_E)$, such that Condition $(PWP)$ implies it, that is, Condition $...
متن کاملCondition Monitoring Techniques of Power Transformers: A Review
Power transformers provide a vital link between the generation and distribution of produced energy. Such static equipment is subjected to abuse during operation in generation and distribution stations and leads to catastrophic failures. This paper reviewed the techniques in the field of condition monitoring of power transformers in recent years. Transformer monitoring and diagnosis are the effe...
متن کاملCondition Monitoring of Power Cables
A National Grid funded research project at Southampton has investigated possible methodologies for data acquisition, transmission and processing that will facilitate on-line continuous monitoring of partial discharges in high voltage polymeric cable systems. A method that only uses passive components at the measuring points has been developed and is outlined in this paper. More recent work, fun...
متن کاملNuclear Power Plant Components Condition Monitoring by Probabilistic Support Vector Machine
In this paper, an approach for the prediction of the condition of Nuclear Power Plant (NPP) components is proposed, for the purposes of condition monitoring. It builds on a modified version of the Probabilistic Support Vector Regression (PSVR) method, which is based on the Bayesian probabilistic paradigm with a Gaussian prior. Specific techniques are introduced for the tuning of the PSVR hyerpa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Measurement
سال: 2018
ISSN: 0263-2241
DOI: 10.1016/j.measurement.2018.03.028