A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Xehetasun bibliografikoak
Egile Nagusiak:	Hasan, Moenul, Uddin, A.K.M. Faiyaz, Ghosh, Anoup
Beste egile batzuk:	Uddin, Jia
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Fault Detection Machine Learning Deep Learning Real-Time Fault Classification Wavelet Transformation 2D Image DCNN Keras Fault location (Engineering)
Sarrera elektronikoa:	http://hdl.handle.net/10361/14985

Antzeko izenburuak

Fault detection in waste water treatment plant using statistical analysis & machine learning
nork: Haque, Md. Ezazul, et al.
Argitaratua: (2019)

Fault analysis in solar photovoltaic arrays
nork: Nunneh, Bill N.
Argitaratua: (2023)

Machine fault diagnosis using a modified transferable CNN
nork: Shammi, Sanjana Khan
Argitaratua: (2024)

Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
nork: Islam, Md Rashedul, et al.
Argitaratua: (2018)

A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
nork: Uddin, Jia, et al.
Argitaratua: (2016)

Predictive maintenance of HVAC system using supervised machine learning algorithms
nork: Fahim, Md. Zubayer Ahmed, et al.
Argitaratua: (2021)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
nork: Morshed, Atique, et al.
Argitaratua: (2021)

Fault detection and predictive maintenance in IoT-based building management system using machine learning
nork: Sabuj, Khaja Sheikh Imran, et al.
Argitaratua: (2022)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
nork: Tasawar, Ihtyaz Kader, et al.
Argitaratua: (2021)

Accelerating 2d fault diagnosis of an induction motor using a graphics processing unit
nork: Uddin, Jia, et al.
Argitaratua: (2016)

Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
nork: Uddin, Md. Minhaz, et al.
Argitaratua: (2023)

ECG disease detection & feature extraction by wavelet transformation
nork: Imam, Saif, et al.
Argitaratua: (2016)

A machine learning approach to predict crime using time and location data
nork: Shama, Nishat
Argitaratua: (2017)

Predictive location generation using machine learning approach
nork: Hasan, S.A.M Khaled, et al.
Argitaratua: (2018)

DWT based transformed domain feature extraction approach for epileptic seizure detection
nork: Mostafa, Mahajabin, et al.
Argitaratua: (2021)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
nork: Reza, S. M. Mushfiq, et al.
Argitaratua: (2024)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
nork: Rahman, Aryan, et al.
Argitaratua: (2023)

Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
nork: Uddin, Md.Tousif, et al.
Argitaratua: (2021)

Comparison of different CNN architectures for brain tumor detection using fMRI
nork: Mashiat, Afsara, et al.
Argitaratua: (2021)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
nork: Khan, Ibrahim
Argitaratua: (2023)

A framework for sentiment analysis: a data-driven approach
nork: Islam, Md. Jahedul, et al.
Argitaratua: (2021)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
nork: Nahar, Jannatun, et al.
Argitaratua: (2022)

Commercial Real Estate Prices During COVID-19 : What is Driving the Divergence? /
nork: Deghi, Andrea
Argitaratua: (2022)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
nork: Sikder, Shihab Uddin, et al.
Argitaratua: (2022)

Real time monitoring for the most vulnerable: pre-primary education in Bangladesh
nork: Akhter, Mahmuda, et al.
Argitaratua: (2016)

Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
nork: Labiba, Zaima, et al.
Argitaratua: (2024)

Gene classification and pattern analysis using data mining and machine learning techniques
nork: Ramisa, Aiman Jabeen, et al.
Argitaratua: (2021)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
nork: Iqbal, Shahriar, et al.
Argitaratua: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
nork: Zubair, Ahmad, et al.
Argitaratua: (2024)

A wavelet tour of signal processing /
nork: Mallat, S. G. (Stephane G.)
Argitaratua: (1998)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
nork: Mizan, Mubasshira, et al.
Argitaratua: (2024)

Real-time foul detection in football matches using machine learning techniques
nork: Siddiqui, Bishal Sadi, et al.
Argitaratua: (2024)

Classification of peripheral blood cell images using deep learning
nork: Aadi, Oyshik Ahmed, et al.
Argitaratua: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
nork: Badhon, Ariful Islam Mahmud, et al.
Argitaratua: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
nork: Hasan, M. M. Kamrul, et al.
Argitaratua: (2022)

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
nork: Chowdhury, Asif Hasan, et al.
Argitaratua: (2023)

Application of CNN based architectures in detection of distracted drivers
nork: Arafin, Irfana, et al.
Argitaratua: (2023)

Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
nork: Joaa, A.F.M. Mohimenul
Argitaratua: (2024)

Smart companion agent for mental well-being through Deep Learning and NLP
nork: Khan, Rafiur, et al.
Argitaratua: (2021)

Business location recommendation using check-in data
nork: Ahmed, Nasim Uddin, et al.
Argitaratua: (2018)