Anomaly detection of power consumption in yarn spinning using transfer learning

Looking at energy through the lens of Industry 4.0: A systematic literature review of concerns and challenges

(2020) Fernanda Schafer Tesch da Silva et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study

(2019) Mikel Canizo et al.   NEUROCOMPUTING

Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance

(2019) Shuang Zhou et al.   NEUROCOMPUTING

A collaborative architecture of the industrial internet platform for manufacturing systems

(2019) Junliang Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Energy efficiency state identification in milling processes based on information reasoning and Hidden Markov Model

(2018) Yun Cai et al.   JOURNAL OF CLEANER PRODUCTION

Adaptive Batch Normalization for practical domain adaptation

(2018) Yanghao Li et al.   PATTERN RECOGNITION

A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson’s Disease

(2018) Hyunsoo Yoon et al.   IEEE Transactions on Automation Science and Engineering

Impact of random weights on nonlinear system identification using convolutional neural networks

(2018) Wen Yu et al.   INFORMATION SCIENCES

TL-GDBN: Growing Deep Belief Network With Transfer Learning

(2018) GongMing Wang et al.   IEEE Transactions on Automation Science and Engineering

Randomized algorithms for nonlinear system identification with deep learning modification

(2016) Erick de la Rosa et al.   INFORMATION SCIENCES

Sustainable textile production: cleaner production assessment/eco-efficiency analysis study in a textile mill

(2016) Emrah Ozturk et al.   JOURNAL OF CLEANER PRODUCTION

An energy-consumption model for establishing energy-consumption allowance of a workpiece in a machining system

(2016) Xiaona Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Improved principal component analysis for anomaly detection: Application to an emergency department

(2015) Fouzi Harrou et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Adaptation Regularization: A General Framework for Transfer Learning

(2013) Mingsheng Long et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods

(2013) Francesco Di Maio et al.   IEEE TRANSACTIONS ON RELIABILITY

Development of an energy consumption monitoring procedure for machine tools

(2012) Thomas Behrendt et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY