VIBRATION-BASED FAULT DIAGNOSIS OF RAILWAY POINT MACHINE USING DEEP LEARNING METHOD

VIBRATION-BASED FAULT DIAGNOSIS OF RAILWAY POINT MACHINE USING DEEP LEARNING METHOD

Saved in:

Bibliographic Details
Main Author:	Yusran, Yasser
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/83023
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

Similar Items

FAULT DETECTION ON RAILWAYS TURNOUT SYSTEM POINT MACHINE SIMULATOR USING INTERNET OF THINGS AND TINY MACHINE LEARNING TO SUPPORT PREDICTIVE MAINTENANCE
by: Alfarezi Pratama, Zastra

Machine learning on fault diagnosis in wind turbines
by: Ng, Eddie Yin Kwee, et al.
Published: (2022)

Machine learning on fault diagnosis in wind turbine
by: Lim, Jian Tiong
Published: (2022)

Power converter fault diagnosis using machine learning techniques
by: Ng, Qi Yan
Published: (2020)

RAILWAY VERTICAL IRREGULARITY DETECTION BASED ON CARBODY DYNAMIC RESPONSE USING MACHINE LEARNING METHOD
by: Deo Alfian, Stefanus

Learning representations with local and global geometries preserved for machine fault diagnosis
by: Li, Yue, et al.
Published: (2022)

Simultaneously learning affinity matrix and data representations for machine fault diagnosis
by: Li, Yue, et al.
Published: (2022)

AN INTELLIGENT FAULT DIAGNOSIS SYSTEM FOR MACHINING
by: ZHOU QIANG
Published: (2020)

EVALUATION OF MACHINE LEARNING USE FOR PREDICTIVE MAINTENANCE OF RAILWAY VEHICLES
by: Galih Pratama Putra, Hafid

Mechatronic experiment on remote vibration monitoring and fault diagnosis via the Internet
by: Tan, K.K., et al.
Published: (2014)

Intelligent fault monitoring and diagnosis in electrical machines
by: Huang, S., et al.
Published: (2016)

EXPERIMENTAL INVESTIGATION FOR THE CLASSIFICATION OF RAIL DEFECTS AND OBSTACLES IN RAILWAYS USING DEEP LEARNING
by: Sakhinatul Putri, Yurixa

Condition Monitoring and Fault Diagnosis of Induction Machine Using Artificial Intelligence Methods and Empirical Mode Decomposition
by: CHEN WEE YUAN
Published: (2012)

Fault detection and diagnosis based on modeling and estimation methods
by: Huang, S., et al.
Published: (2014)

VIBRATION ANALYSIS METHOD TO DIAGNOSE DEFECTS OF ROTATING MACHINE WITH MACHINE LEARNING APPROACH
by: Dainuri, Akhmad

A learning-based method for speed sensor fault diagnosis of induction motor drive systems
by: Xia, Yang, et al.
Published: (2022)

COMPARING THE EFFECTIVENESS OF MACHINE LEARNING MODELS FOR FAULT DETECTION & DIAGNOSIS OF CHILLERS AND AIR HANDLING UNITS
by: JUSTIN CHANG WEI HOONG
Published: (2022)

Deep learning methods for diagnosis of epilepsy from electroencephalograms
by: Peh, Wei Yan
Published: (2023)

Analysing multi-point multi-frequency machine vibrations using optical sampling
by: ROY, Dibyendu, et al.
Published: (2018)

Inter-turn Fault Detection of Induction Machines Using the Voltage Across the Star-points of the Machine and the Source
by: Athikessavan, SC, et al.
Published: (2020)

Tilted fiber bragg grating vibration sensor intended for use in deep-sleep diagnosis
by: Quek, Andrew Zhi Wei.
Published: (2010)

An investigation of conventional machine learning approaches vs deep learning approaches in manufacturing context : bearing fault detection
by: Loy, Chee Wah
Published: (2020)

A study on automatic machine condition monitoring and fault diagnosis for bearing and unbalanced rotor faults
by: Chen, W.-Y., et al.
Published: (2014)

Simultaneous-fault diagnosis considering time series with a deep learning transformer architecture for air handling units
by: Wu, Bingjie, et al.
Published: (2022)

Machine learning methods for diagnosis of epilepsy from EEG
by: Roshini, Koppala
Published: (2018)

THE COMPARISON OF FAULT DETECTION RESULTS ON ROTATING MACHINERY USING VIBRATION AND SHOCK PULSE METHODS
by: Keith Anggarawan, Hansel

IMPACTS OF ADVERSARIAL MACHINE LEARNING METHODS IN DEEP LEARNING MODELS USED IN IOT ENVIRONMENTS
by: ABHIJIT SINGH
Published: (2023)

Towards understanding the faults of JavaScript-based deep learning systems
by: QUAN, Lili, et al.
Published: (2022)

INTEGRATED DATA ACQUISITION SYSTEM FOR RAILWAY CAR BODY VIBRATION AND POSITION USING LABVIEW
by: Abyad Khadijah Ghozali, Siti

Deep learning methods for diagnosis of epilepsy from EEG using convolutional neural networks
by: Du, Cuiqianhe
Published: (2018)

Deep learning-based interest point detector for 3D point clouds
by: Wang, Xiaoyue
Published: (2022)

Bearing fault detection by machine learning algorithm using ANN
by: Ke, Ru
Published: (2023)

Man-machine cooperative method based on deep learning in flexible manufacturing system
by: He, Chongshan
Published: (2024)

DEEP LEARNING FOR GLAUCOMA DIAGNOSIS
by: LI WENTONG
Published: (2021)

Smartphone-Supported Malaria Diagnosis Based on Deep Learning
by: Feng Yang, et al.
Published: (2020)

Deep learning based people detection using 3D point cloud
by: Tan, Kye Min
Published: (2018)

Machine learning and deep learning methods for exchange-traded fund trading
by: Jeremia, Alexander
Published: (2023)

Data-driven methods for power converter fault diagnosis
by: Shahzrul Ramadzan Bin Johar
Published: (2024)

Deep machine learning based scene understanding
by: Wo, Benjamin Shun Xian
Published: (2022)

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
by: Xie, J., et al.
Published: (2021)