A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays
نویسندگان
چکیده
منابع مشابه
DenPEHC: Density peak based efficient hierarchical clustering
Existing hierarchical clustering algorithms involve a flat clustering component and an additional agglomerative or divisive procedure. This paper presents a density peak based hierarchical clustering method (DenPEHC), which directly generates clusters on each possible clustering layer, and introduces a grid granulation framework to enable DenPEHC to cluster large-scale and high-dimensional (LSH...
متن کاملDeveloping A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults
Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...
متن کاملNetwork fault diagnosis: a model based approach
Most of the diagnostic systems for computer network faults discussed in the literature or available as part of network management platforms are experience-based systems. Such systems, in some way capture the experience of detecting a fault on a particular computer network. A subproblem of fault diagnosis, the alarm correlation problem, that is, the filtering out irrelevant, or explained, or spu...
متن کاملA Fault-recovery Routing Approach for Loop-based Clustering WSN
∗ The research is supported by Doctoral Foundation Program of China Education Department, No. 20059998022 Abstract Clustering has been used as an effective approach to saving energy and providing better scalability for Wireless Sensor Networks (WSN). Most of the existing methods for clustering use a star-based topology while the newly proposed loop-based topology brings some unusual advantages....
متن کاملAN INTELLIGENT FAULT DIAGNOSIS APPROACH FOR GEARS AND BEARINGS BASED ON WAVELET TRANSFORM AS A PREPROCESSOR AND ARTIFICIAL NEURAL NETWORKS
In this paper, a fault diagnosis system based on discrete wavelet transform (DWT) and artificial neural networks (ANNs) is designed to diagnose different types of fault in gears and bearings. DWT is an advanced signal-processing technique for fault detection and identification. Five features of wavelet transform RMS, crest factor, kurtosis, standard deviation and skewness of discrete wavelet co...
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: International Journal of Photoenergy
سال: 2017
ISSN: 1110-662X,1687-529X
DOI: 10.1155/2017/4903613