Can pretrained networks be used in fault diagnosis of monoblock centrifugal pump?

Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network

(2022) Meng Xiao et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fault classification in the process industry using polygon generation and deep learning

(2021) Mohamed Elhefnawy et al.   JOURNAL OF INTELLIGENT MANUFACTURING

IoT enabled environmental toxicology for air pollution monitoring using AI techniques

(2021) P. Asha et al.   ENVIRONMENTAL RESEARCH

Segmentation-based deep-learning approach for surface-defect detection

(2019) Domen Tabernik et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

(2018) Duy-Tang Hoang et al.   Cognitive Systems Research

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

(2016) Chuan Li et al.   SENSORS

Deep learning

(2015) Yann LeCun et al.   NATURE

SELECTION OF DISCRETE WAVELETS FOR FAULT DIAGNOSIS OF MONOBLOCK CENTRIFUGAL PUMP USING THE J48 ALGORITHM

(2013) V. Muralidharan et al.   APPLIED ARTIFICIAL INTELLIGENCE

A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis

(2012) V. Muralidharan et al.   APPLIED SOFT COMPUTING

Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

(2010) M. Elangovan et al.   EXPERT SYSTEMS WITH APPLICATIONS