4.6 Article

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing

Kevin I-Kai Wang et al.

Summary: In this article, a new federated transfer learning framework is proposed to address the challenges of data scarcity and data privacy in smart manufacturing. The framework allows model sharing across the central server and smart devices, achieving efficient and accurate learning using transfer learning techniques.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Proceedings Paper Computer Science, Information Systems

AutoForecast: Automatic Time-Series Forecasting Model Selection

Mustafa Abdallah et al.

Summary: The development of the AUTOFORECAST forecasting meta-learning approach allows for quick selection of the best time-series forecasting model for unseen datasets. Experiments show that this approach is more effective in selecting better forecasting models compared to state-of-the-art methods.

PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022 (2022)

Article Engineering, Electrical & Electronic

Calibration of Haptic Sensors Using Transfer Learning

Song Wang et al.

Summary: This paper introduces a novel sensor calibration scheme, the HAN model, which significantly reduces the demand for training data, especially for small experimental datasets. The HAN model can be used not only for calibrating different types of sensors, but also provides a new approach to integrating sensor calibration methods.

IEEE SENSORS JOURNAL (2021)

Article Computer Science, Information Systems

Context-Aware Collaborative Intelligence With Spatio-Temporal In-Sensor-Analytics for Efficient Communication in a Large-Area IoT Testbed

Baibhab Chatterjee et al.

Summary: The article discusses the tradeoffs between energy consumption for communication and computation in a wireless sensor network deployed for smart agriculture applications. It introduces a real-time co-optimization algorithm to minimize energy consumption and maximize battery lifetime, with measurement results showing significant energy savings compared to traditional communication methods. Collaborative intelligence and context-aware switching algorithms further extend node lifetime, achieving over 90% of the theoretical limits while effectively transferring sampled information.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Information Systems

Learning With Imbalanced Data in Smart Manufacturing: A Comparative Analysis

Yasmin Fathy et al.

Summary: The Internet of Things is transforming manufacturing into Smart Manufacturing, which utilizes IoT data and machine learning to automate fault prediction and improve product quality. Imbalanced data hinders the success of machine learning in predicting faults.

IEEE ACCESS (2021)

Article Automation & Control Systems

Learning via acceleration spectrograms of a DC motor system with application to condition monitoring

Wo Jae Lee et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

Article Computer Science, Artificial Intelligence

Monitoring of a machining process using kernel principal component analysis and kernel density estimation

Wo Jae Lee et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Engineering, Electrical & Electronic

Multi-Fault Bearing Classification Using Sensors and ConvNet-Based Transfer Learning Approach

Sandeep S. Udmale et al.

IEEE SENSORS JOURNAL (2020)

Article Chemistry, Analytical

Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning

Alexander L. Bowler et al.

SENSORS (2020)

Article Computer Science, Artificial Intelligence

Using an autoencoder in the design of an anomaly detector for smart manufacturing

Antonio L. Alfeo et al.

PATTERN RECOGNITION LETTERS (2020)

Article Economics

DeepAR: Probabilistic forecasting with autoregressive recurrent networks

David Salinas et al.

INTERNATIONAL JOURNAL OF FORECASTING (2020)

Article Economics

FFORMA: Feature-based forecast model averaging

Pablo Montero-Manso et al.

INTERNATIONAL JOURNAL OF FORECASTING (2020)

Proceedings Paper Green & Sustainable Science & Technology

Development of an Intelligent Tool Condition Monitoring System to Identify Manufacturing Tradeoffs and Optimal Machining Conditions

Wo Jae Lee et al.

SUSTAINABLE MANUFACTURING FOR GLOBAL CIRCULAR ECONOMY (2019)

Proceedings Paper Computer Science, Information Systems

Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manufacturing

Ruei-Jie Hsieh et al.

2019 IEEE 12TH CONFERENCE ON SERVICE-ORIENTED COMPUTING AND APPLICATIONS (SOCA 2019) (2019)

Article Engineering, Manufacturing

Deep Learning for Distortion Prediction in Laser-Based Additive Manufacturing using Big Data

Jack Francis et al.

MANUFACTURING LETTERS (2019)

Article Engineering, Industrial

Smart manufacturing

Andrew Kusiak

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)

Article Computer Science, Artificial Intelligence

Computer Aided Qur'an Pronunciation using DNN

Mubarak Al-Marri et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2018)

Article Engineering, Industrial

Deep learning for smart manufacturing: Methods and applications

Jinjiang Wang et al.

JOURNAL OF MANUFACTURING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Anomaly detection and predictive maintenance for photovoltaic systems

Massimiliano De Benedetti et al.

NEUROCOMPUTING (2018)

Article Computer Science, Information Systems

Multitier Fog Computing With Large-Scale IoT Data Analytics for Smart Cities

Jianhua He et al.

IEEE INTERNET OF THINGS JOURNAL (2018)

Article Computer Science, Information Systems

Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

Mohsen Marjani et al.

IEEE ACCESS (2017)

Proceedings Paper Automation & Control Systems

Anomaly Detection Approaches for Semiconductor Manufacturing

Gian Antonio Susto et al.

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 (2017)

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Article Biochemical Research Methods

DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations

Yuchen Yuan et al.

BMC BIOINFORMATICS (2016)

Article Computer Science, Artificial Intelligence

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Guilherme O. Campos et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2016)

Article Engineering, Electrical & Electronic

Energy-Efficient Intelligent Street Lighting System Using Traffic-Adaptive Control

Gul Shahzad et al.

IEEE SENSORS JOURNAL (2016)

Review Engineering, Electrical & Electronic

A survey of machine learning for big data processing

Junfei Qiu et al.

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2016)

Proceedings Paper Computer Science, Artificial Intelligence

A Deep Neural Networks (DNN) Based Models for a Computer Aided Pronunciation Learning System

Mohamed S. Elaraby et al.

SPEECH AND COMPUTER (2016)

Proceedings Paper Computer Science, Hardware & Architecture

IoT Healthcare Analytics: The Importance of Anomaly Detection

Arijit Ukil et al.

IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016 (2016)

Article Computer Science, Theory & Methods

A Survey of Intrusion Detection Techniques for Cyber-Physical Systems

Robert Mitchell et al.

ACM COMPUTING SURVEYS (2014)

Article Computer Science, Artificial Intelligence

Bridging Domains Using World Wide Knowledge for Transfer Learning

Evan Wei Xiang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)

Article Computer Science, Theory & Methods

Anomaly detection

Varun Chandola et al.

ACM COMPUTING SURVEYS (2009)

Article Chemistry, Analytical

Suitability of MEMS accelerometers for condition monitoring: An experimental study

Alhussein Albarbar et al.

SENSORS (2008)

Article Computer Science, Interdisciplinary Applications

SIMAP: Intelligent System for Predictive Maintenance - Application to the health condition monitoring of a windturbine gearbox

Mari Cruz Garcia et al.

COMPUTERS IN INDUSTRY (2006)

Article Computer Science, Artificial Intelligence

Framewise phoneme classification with bidirectional LSTM and other neural network architectures

A Graves et al.

NEURAL NETWORKS (2005)

Article Engineering, Electrical & Electronic

ARIMA models to predict next-day electricity prices

J Contreras et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2003)