Machine Learning Approach for Automatic Fault Detection and Diagnosis in Cellular Networks

Learning Approach ◽

Machine Learning Approach ◽

A distributed sensor-fault detection and diagnosis framework using machine learning

Information Sciences ◽

10.1016/j.ins.2020.08.068 ◽

2021 ◽

Vol 547 ◽

pp. 777-796

Author(s):

Sana Ullah Jan ◽

Young Doo Lee ◽

In Soo Koo

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Sensor Fault ◽

Distributed Sensor ◽

Sensor Fault Detection ◽

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) ◽

Machine Learning Approach improves the Quality of the MRI Images in Tumor Detection and Diagnosis: A PSO based Cluster Analysis

10.1109/i2c2sw45816.2018.8997145 ◽

2018 ◽

Author(s):

V. Sivakumar ◽

N. Janakiraman ◽

S. Naganandhini

Keyword(s):

Machine Learning ◽

Cluster Analysis ◽

Tumor Detection ◽

Learning Approach ◽

Machine Learning Approach ◽

A Hybrid Machine Learning Approach for Mobile User Positioning in Cellular Networks

10.14209/sbrt.2017.172 ◽

2017 ◽

Cited By ~ 1

Author(s):

Robson Timoteo ◽

Daniel Cunha ◽

Lizandro Silva ◽

George Cavalcanti

Keyword(s):

Machine Learning ◽

Cellular Networks ◽

Mobile User ◽

Learning Approach ◽

Machine Learning Approach ◽

Hybrid Machine

Machine-learning approach for fault detection in brushless synchronous generator using vibration signals

IET Science Measurement & Technology ◽

10.1049/iet-smt.2018.5523 ◽

2019 ◽

Vol 13 (6) ◽

pp. 852-861 ◽

Cited By ~ 6

Author(s):

Mehdi Rahnama ◽

Abolfazl Vahedi ◽

Arta Mohammad Alikhani ◽

Allahyar Montazeri

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Synchronous Generator ◽

Learning Approach ◽

Vibration Signals ◽

Machine Learning Approach

Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

European Journal of Control ◽

10.1016/j.ejcon.2020.03.004 ◽

2020 ◽

Author(s):

Mansour Hajji ◽

Mohamed-Faouzi Harkat ◽

Abdelmalek Kouadri ◽

Kamaleldin Abodayeh ◽

Majdi Mansouri ◽

...

Keyword(s):

Machine Learning ◽

Feature Extraction ◽

Fault Detection ◽

Supervised Machine Learning ◽

Photovoltaic Systems ◽

Fault detection and diagnosis for solar-powered Wireless Mesh Networks using machine learning

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) ◽

10.23919/inm.2017.7987312 ◽

2017 ◽

Cited By ~ 7

Author(s):

Vinicius C. Ferreira ◽

Ricardo C. Carrano ◽

Joacir O. Silva ◽

Celio V. N. Albuquerque ◽

Debora C. Muchaluat-Saade ◽

...

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Wireless Mesh Networks ◽

Mesh Networks ◽

Wireless Mesh ◽

Detection And Diagnosis ◽

Solar Powered

A Machine Learning approach to fault detection in transformers by using vibration data

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.866 ◽

2020 ◽

Vol 53 (2) ◽

pp. 13656-13661

Author(s):

A. Tavakoli ◽

L. De Maria ◽

B. Valecillos ◽

D. Bartalesi ◽

S. Garatti ◽

...

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Learning Approach ◽

Vibration Data ◽

Machine Learning Approach

Fault Detection and Diagnosis Technic Using Electrical Characteristics of a PV Module and Machine Learning Classifier

Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi ◽

10.29137/umagd.843768 ◽

2020 ◽

Author(s):

Mouhamed Aghiad RASLAN ◽

Ertuğrul ÇAM

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Electrical Characteristics ◽

Learning Classifier ◽

Pv Module ◽

Machine Learning–Based Fault Detection and Diagnosis of Organic Rankine Cycle System for Waste-Heat Recovery

Journal of Energy Engineering ◽

10.1061/(asce)ey.1943-7897.0000764 ◽

2021 ◽

Vol 147 (4) ◽

Author(s):

Jiangfeng Wang ◽

Qiyao Zuo ◽

Guanglin Liao ◽

Fang Luo ◽

Pan Zhao ◽

...

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Waste Heat ◽

Organic Rankine Cycle ◽

Rankine Cycle ◽

Cycle System ◽

Novel Hybrid Invasive Weed Optimization and Machine Learning Approach for Fault Detection

10.1109/upec50034.2021.9548171 ◽

2021 ◽

Author(s):

Alasmer Ibrahim ◽

Fatih Anayi ◽

Michael Packianather ◽

Osama Al-Omari

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Learning Approach ◽

Invasive Weed Optimization ◽

Invasive Weed ◽

Machine Learning Approach