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ORCIDICPHM 2020: Detroit, MI, USA
- IEEE International Conference on Prognostics and Health Management, ICPHM 2020, Detroit, MI, USA, June 8-10, 2020. IEEE 2020, ISBN 978-1-7281-6286-7
- Kamyar Azar, Farnoosh Naderkhani:
Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions. 1-6 - Nastaran Enshaei, Safwan Ahmad, Farnoosh Naderkhani:
Automated detection of textured-surface defects using UNet-based semantic segmentation network. 1-5 - Yan Zhang, Hang Wei, Qingqing Huang, Jinglong Guo:
Bearing Fault Diagnosis Under Variable Speed Based on Iterative TF Curve Extraction and Demodulation. 1-5 - Masanao Natsumeda, Haifeng Chen:
RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation. 1-8 - Kesaaki Minemura, Shota Yabui
, Kohei Iwata, Tsuyoshi Inoue:
Visualization of gear-motor shaft whirling feature based on time-series analysis for rotary machine component condition monitoring. 1-5 - Jiyu Zhang, Mutasim Salman:
A Model-Based Method for Fault Detection and Isolation of Electric Drive Systems. 1-8 - Sara Kohtz, Pingfeng Wang:
A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management. 1-6 - Yiming Bian, Ning Li:
Estimating remaining useful life for lithium-ion batteries using kalman filter banks. 1-6 - Rajendra Prasath Palanisamy, Portia Banerjee, Subrata Mukherjee, Mahmood Haq, Yiming Deng:
Fatigue damage prognosis in adhesive bonded composite lap-joints using guided waves. 1-7 - Shuichi Sato, Yosuke Watanabe, Hiroyuki Seki, Yoshinao Ishii, Shoji Yuen:
Fault Diagnosis for Distributed Cooperative System Using Inductive Logic Programming. 1-8 - Amirhassan Abbasi, Foad Nazari, Chandrasekhar Nataraj:
Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics. 1-6 - Subrata Mukherjee, Xuhui Huang, Vivek T. Rathod, Lalita Udpa, Yiming Deng:
Defects Tracking via NDE Based Transfer Learning. 1-8 - Hasan Rasay, Farnoosh Naderkhani:
Designing a Reliability Quick Switching Sampling Plan based on the Lifetime Performance Index. 1-7 - Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. 1-8 - Qingqing Huang, Zhen Kang, Yan Zhang, Dong Yan:
Tool Remaining Useful Life Prediction based on Edge Data Processing and LSTM Recurrent Neural Network. 1-5 - Stephen C. Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt:
Hierarchical Classification for Unknown Faults. 1-8 - Ali Al-Dulaimi, Amir Asif, Arash Mohammadi:
Multipath Parallel Hybrid Deep Neural Networks Framework for Remaining Useful Life Estimation. 1-7 - Vivek T. Rathod, Subrata Mukherjee, Lalita Udpa, Yiming Deng:
Extracting Mode Converted Guided Wave Response due to Delamination using Embedded Thin Film Sensors. 1-8 - Md Shahin Alam, Seyed Ali Arefifar:
Optimal Operation of Energy Storage Units in PV and Wind Integrated Smart Distribution Systems. 1-8 - Alex Falcon, Giovanni D'Agostino, Giuseppe Serra, Giorgio Brajnik, Carlo Tasso:
A Neural Turing Machine-based approach to Remaining Useful Life Estimation. 1-8 - Dengshan Huang, Rui Bai, Shuai Zhao, Pengfei Wen, Shengyue Wang, Shaowei Chen:
Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine. 1-8 - Jingjie Zhu, Karthik Sundaresan, Jason W. Rupe:
Proactive Network Maintenance using Fast, Accurate Anomaly Localization and Classification on 1-D Data Series. 1-11 - Safwan Ahmad, Nastaran Enshaei, Farnoosh Naderkhani, Anjali Awasthi:
Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes. 1-6 - Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang:
Health Indicator Forecasting for Improving Remaining Useful Life Estimation. 1-8 - Binghao Fu, Zhenyu Wu, Juchuan Guo:
Remaining Useful Life Prediction under Multiple Operation Conditions Based on Domain Adaptive Sparse Auto-Encoder. 1-8 - Lindy Williams, Caleb Phillips, Shawn Sheng, Aron Dobos, Xiupeng Wei:
Scalable Wind Turbine Generator Bearing Fault Prediction Using Machine Learning: A Case Study. 1-9 - Xiaoyu Shi, Yuhua Cheng, Bo Zhang, Haonan Zhang:
Intelligent fault diagnosis of bearings based on feature model and Alexnet neural network. 1-6 - Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. 1-7 - Geunbae Lee, Myungkyo Jung, Myoungwoo Song, Jaegul Choo:
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder. 1-6 - Hassan Hijry, Richard Olawoyin:
Application of Machine Learning Algorithms for Patient Length of Stay Prediction in Emergency Department During Hajj. 1-8 - Nhu Khue Vuong, Yang Xue, Shudong Liu, Yu Zhou, Min Wu:
Predicting Surface Roughness and Flank Wear in Turning Processes. 1-6 - Mahindra Rautela, S. Gopalakrishnan, Karthik Gopalakrishnan, Yiming Deng:
Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks. 1-7 - Tilman Krokotsch, Mirko Knaak, Clemens Gühmann:
A Novel Evaluation Framework for Unsupervised Domain Adaption on Remaining Useful Lifetime Estimation. 1-8 - Masaki Takanashi, Yoshinao Ishii, Shuichi Sato, Noriyoshi Sano, Katsushi Sanda:
Road-Deterioration Detection using Road Vibration Data with Machine-Learning Approach. 1-7 - Cailian Li, Chun Zhang:
Life prediction of battery based on random forest optimized by genetic algorithm. 1-6 - Jinhyuck Choi, Jinwoo Lee, Won Jeong Cho:
Prognostics by classifying degradation stage on Lambda architecture. 1-9 - Pan Luo, Zhaojun Steven Li:
A Review of Internet of Things (IoT) based Engineering Applications and Data Fusion Challenges for Multi-rate Multi-sensor Systems. 1-7 - Jackson Cornelius, Blake Brockner, Seong Hyeon Hong, Yi Wang, Kapil Pant, John E. Ball:
Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems. 1-8 - Nobal B. Niraula, Anne Kao, Daniel Whyatt:
HPart and Condition Extraction from Aircraft Maintenance Records. 1-7
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