Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges

A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM

(2021) Foivos Psarommatis   JOURNAL OF MANUFACTURING SYSTEMS

Plexiform schwannoma masquerading as an appendageal tumor

(2021) Priyanka Patil et al.   Medical Journal of Dr DY Patil Vidyapeeth

Monitoring and repair of defects in ultrasonic additive manufacturing

(2020) Venkata Karthik Nadimpalli et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders

(2020) Aniekan Essien et al.   IEEE Transactions on Industrial Informatics

The role of surrogate models in the development of digital twins of dynamic systems

(2020) S. Chakraborty et al.   APPLIED MATHEMATICAL MODELLING

Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research

(2019) Foivos Psarommatis et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

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

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

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals

(2019) Moncef Soualhi et al.   MEASUREMENT

Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging

(2019) Yongbo LI et al.   Chinese Journal of Aeronautics

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Strategic defect management for a sustainable green supply chain

(2019) Prerna Gautam et al.   JOURNAL OF CLEANER PRODUCTION

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

(2019) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A generative neural network model for the quality prediction of work in progress products

(2019) Guodong Wang et al.   APPLIED SOFT COMPUTING

Model-based vehicular prognostics framework using Big Data architecture

(2019) Alberto Petrillo et al.   COMPUTERS IN INDUSTRY

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance

(2019) Wenjin Yu et al.   IEEE Transactions on Industrial Informatics

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

(2019) Gaowei Xu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Repairing surface defects of metal parts by groove machining and wire + arc based filling

(2019) Yongzhe Li et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features

(2019) Yu He et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT

(2019) Di Wu et al.   IEEE Transactions on Industrial Informatics

PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection

(2019) Hongwen Dong et al.   IEEE Transactions on Industrial Informatics

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

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

Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification

(2018) Bo Luo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction

(2018) Yun Bai et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Profile monitoring based quality control method for fused deposition modeling process

(2018) Ketai He et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Using regression models for predicting the product quality in a tubing extrusion process

(2018) Vicente García et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A review on quality control in additive manufacturing

(2018) Hoejin Kim et al.   RAPID PROTOTYPING JOURNAL

Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

(2018) Baotong Chen et al.   IEEE Access

A review of the wire arc additive manufacturing of metals: properties, defects and quality improvement

(2018) Bintao Wu et al.   Journal of Manufacturing Processes

Solar cell surface defect inspection based on multispectral convolutional neural network

(2018) Haiyong Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

(2018) Xiang Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Abrupt fault remaining useful life estimation using measurements from a reciprocating compressor valve failure

(2018) Panagiotis Loukopoulos et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction

(2018) Kai Wang et al.   IEEE Transactions on Industrial Informatics

A big data driven sustainable manufacturing framework for condition-based maintenance prediction

(2017) Ajay Kumar et al.   Journal of Computational Science

Industry 4.0: a way from mass customization to mass personalization production

(2017) Yi Wang et al.   Advances in Manufacturing

Segmented infrared image analysis for rotating machinery fault diagnosis

(2016) Lixiang Duan et al.   INFRARED PHYSICS & TECHNOLOGY

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

(2016) Sarah M. Erfani et al.   PATTERN RECOGNITION

Avoiding defects in manufacturing processes: A review for automated CFRP production

(2016) M. Perner et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Markov modeling and analysis of multi-stage manufacturing systems with remote quality information feedback

(2015) Shichang Du et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Prediction of surface roughness quality of green abrasive water jet machining: a soft computing approach

(2015) Jagadish et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Towards zero-defect manufacturing (ZDM)—a data mining approach

(2013) Ke-Sheng Wang   Advances in Manufacturing

Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique

(2012) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Development of a risk-based maintenance strategy using FMEA for a continuous catalytic reforming plant

(2012) Yuqiao Wang et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

A review of data mining applications for quality improvement in manufacturing industry

(2011) Gülser Köksal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification

(2010) Lv Yaqiong et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

(2009) Zhigang Tian   JOURNAL OF INTELLIGENT MANUFACTURING