Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals

Detection and identification of windmill bearing faults using a one-class support vector machine (SVM)

(2019) Juhamatti Saari et al.   MEASUREMENT

3D in vitro cancerous tumor models: Using 3D printers

(2019) Zahra Zahedi-Tabar et al.   MEDICAL HYPOTHESES

A piecewise nonlinear stochastic resonance method and its application to incipient fault diagnosis of machinery

(2019) Zhixing Li et al.   CHINESE JOURNAL OF PHYSICS

Applications of stochastic resonance to machinery fault detection: A review and tutorial

(2019) Zijian Qiao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Impact of macronutrients printability and 3D-printer parameters on 3D-food printing: A review

(2019) Bianca Pérez et al.   FOOD CHEMISTRY

Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis

(2019) Jimeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transmission Condition Monitoring of 3D Printers Based on the Echo State Network

(2019) Shaohui Zhang et al.   Applied Sciences-Basel

Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers

(2019) Shaohui Zhang et al.   IEEE Transactions on Industrial Informatics

Additive manufacturing (3D printing): A review of materials, methods, applications and challenges

(2018) Tuan D. Ngo et al.   COMPOSITES PART B-ENGINEERING

Echo state network and variational autoencoder for efficient one-class learning on dynamical systems

(2018) Diego Cabrera et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

(2018) Chuan Li et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Monitoring temperature in additive manufacturing with physics-based compressive sensing

(2018) Yanglong Lu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis

(2018) Lei Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Sparse representation learning of data by autoencoders with L1/2 regularization

(2018) Li Feng et al.   Neural Network World

Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines

(2018) Kun He et al.   SENSORS

Scheduling-based power capping in high performance computing systems

(2018) Andrea Borghesi et al.   Sustainable Computing-Informatics & Systems

Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks

(2018) Han Liu et al.   NEUROCOMPUTING

Least squares support vector machine for class imbalance learning and their applications to fault detection of aircraft engine

(2018) Peng-Peng Xi et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Weak feature enhancement in machinery fault diagnosis using empirical wavelet transform and an improved adaptive bistable stochastic resonance

(2018) Xin Zhang et al.   ISA TRANSACTIONS

Exploiting the generative adversarial framework for one-class multi-dimensional fault detection

(2018) Spyridon Plakias et al.   NEUROCOMPUTING

Dynamic condition monitoring for 3D printers by using error fusion of multiple sparse auto-encoders

(2018) Shaohui Zhang et al.   COMPUTERS IN INDUSTRY

3D printing: State of the art and future perspectives

(2017) Caterina Balletti et al.   JOURNAL OF CULTURAL HERITAGE

Robust one-class SVM for fault detection

(2016) Yingchao Xiao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

One-class classification based on the convex hull for bearing fault detection

(2016) Ming Zeng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Using 3D printers as weapons

(2016) Mark Yampolskiy et al.   International Journal of Critical Infrastructure Protection

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

(2015) Chuan Li et al.   NEUROCOMPUTING

Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection

(2014) Yingchao Xiao et al.   KNOWLEDGE-BASED SYSTEMS