Residential Load Pattern Clustering Based on Smart Meter Data Using Weighted Self-Organizing Map

2021 ◽  
Author(s):  
Qing Peng ◽  
Ming Chi ◽  
Mingxi Zhu ◽  
Yunfan Yu ◽  
Diandian Wan ◽  
...  
Keyword(s):  
Smart Meter ◽  
Self Organizing Map ◽  
Pattern Clustering ◽  
Load Pattern ◽  
Self Organizing

Combination of ICA and SOM for Classification of Machine Condition Patterns

2005 ◽  
Vol 295-296 ◽  
pp. 643-648
Author(s):  
Shu Xiang Yang ◽  
W.D. Jiao ◽  
Z.T. Wu
Keyword(s):  
Feature Extraction ◽  
Radial Basis Function Network ◽  
Health Condition ◽  
Self Organizing Map ◽  
Pattern Clustering ◽  
Machine Systems ◽  
Artificial Neural Network Ann ◽  
Excellent Tool ◽  
Self Organizing

Nonlinear independent component analysis (NICA) is a powerful method for analyzing nonlinear and nongaussian data. Artificial neural network (ANN), especially self-organizing map (SOM) based on unsupervised learning, is an excellent tool for pattern clustering and recognition. A novel multi-NICA network is proposed for feature extraction of different mechanical patterns, followed by a typical ANN that is one of Multi-Layer Perceptron (MLP), or Radial Basis Function Network (RBFN), or self-organizing map (SOM), which implements the final classification. Using NICA and appropriate strategies for further feature extraction, nonlinear and higher than second order features embedded in multi-channel vibration measurements can be captured effectively. Mechanical fault patterns can be recognized correctly. Results from the contrast classification experiments show that the new compound ICA-SOM classifier can be constructed in a simpler way and it can classify various fault patterns with high accuracy, both of which imply a great potential in health condition monitoring of machine systems.

Auscultating Diagnosis for Hemodialysis Shunt Stenosis using a Self-Organizing Map and Hidden Markov Model

2012 ◽  
Vol 132 (10) ◽  
pp. 1589-1594 ◽  
Author(s):  
Hayato Waki ◽  
Yutaka Suzuki ◽  
Osamu Sakata ◽  
Mizuya Fukasawa ◽  
Hatsuhiro Kato
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Self Organizing Map ◽  
Self Organizing

An Auscultaiting Diagnosis Support System for Assessing Hemodialysis Shunt Stenosis by Using Self-organizing Map

2011 ◽  
Vol 131 (1) ◽  
pp. 160-166 ◽  
Author(s):  
Yutaka Suzuki ◽  
Mizuya Fukasawa ◽  
Osamu Sakata ◽  
Hatsuhiro Kato ◽  
Asobu Hattori ◽  
...  
Keyword(s):  
Support System ◽  
Self Organizing Map ◽  
Self Organizing

Classification of Heat Wave Events in Seoul Using Self-Organizing Map

2018 ◽  
Vol 9 (3) ◽  
pp. 209-221 ◽  
Author(s):  
Seung-Yoon Back ◽  
Sang-Wook Kim ◽  
Myung-Il Jung ◽  
Joon-Woo Roh ◽  
Seok-Woo Son
Keyword(s):  
Heat Wave ◽  
Self Organizing Map ◽  
Self Organizing

Spherical Self-Organizing Map Detects MYBL 1 As Candidate Gene for Triple-Negative Breast Cancer

2015 ◽  
Vol 3 (2) ◽  
pp. 94-101 ◽  
Author(s):  
Masashi Ikeda ◽  
Kazuki Kumon ◽  
Kazuya Omoto ◽  
Yuh Sugii ◽  
Akifumi Mizutani ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Candidate Gene ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Self Organizing Map ◽  
Self Organizing
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