Abstract is missing.
- A Hybrid Deep Learning Based Approach for Remaining Useful Life EstimationKhaled Akkad, David He. 1-6 [doi]
- A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life PrognosticsPengfei Wen, Shaowei Chen, Shuai Zhao, Yong Li, Yan Wang, Zhi Dou. 1-8 [doi]
- A Comparative Study of Deep Learning-Based Diagnostics for Automotive Safety Components Using a Raspberry PiNamkyoung Lee, Michael H. Azarian, Michael G. Pecht, Jinyong Kim, Jongsoon Im. 1-7 [doi]
- Visual explanation of neural network based rotation machinery anomaly detection systemMao Saeki, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa. 1-4 [doi]
- Implementing Predictive Maintenance in a Company: Industry Insights with Expert InterviewsCarolin Wagner, Bernd Hellingrath. 1-8 [doi]
- Deep Recurrent Convolutional Neural Network for Remaining Useful Life PredictionMeng Ma, Zhu Mao. 1-4 [doi]
- Differentiation of Journal Bearing Friction States under varying Oil Viscosities based on Acoustic Emission SignalsNoushin Mokhtari, René Knoblich, Sebastian Nowoisky, José Luis Bote-Garcia, Clemens Gühmann. 1-7 [doi]
- Calculating the Contact Forces at Imperfect Surfaces Considering Elastohydrodynamic Lubrication Effects in Rolling Element BearingsLinkai Niu, Fengtao Wang, Guoyan Li, Chenguang Niu, Yuan Lan, Xiaoyan Xiong. 1-6 [doi]
- Health Assessment for Crane Pumps based on Vehicle Tests using Deep Autoencoder and Metric LearningDengyu Xiao, Yixiang Huang, Chengjin Qin, Haotian Shi, Chengliang Liu, Zenghai Shan. 1-6 [doi]
- Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring DataHong-Quan Jiang, Jianmin Gao, Fengshe Xia, Xiaoming Zhang, Tao Zhou, Dongcheng Liu. 1-7 [doi]
- Essentials to Develop Data-Driven Predictive Models of Prognostics and Health Management for Distributed Electrical SystemsFarhad Balali, Hamid Seifoddini, Adel Nasiri. 1-8 [doi]
- Online change detection techniques in time series: An overviewBernadin Namoano, Andrew Starr, Christos Emmanouilidis, Ruiz Carcel Cristobal. 1-10 [doi]
- Faults Analysis of Double Water Inner Cooled Synchronous MachinesAndong Wang, Junqing Li, Yangshuo Ma, Fuchun Sun. 1-7 [doi]
- Generating Mathematical Model of Equipment and Its Applications in PHMPushe Zhao, Masaru Kurihara, Tojiro Noda, Hiroki Kashiwa, Masaki Hiyama. 1-7 [doi]
- Diagnosis Method for Hydro-generator Rotor Fault Based on Stochastic ResonanceJunqing Li, Luo Wang, Yonggang Li. 1-5 [doi]
- Operating state evaluation of smart electricity meter based on data fusion methodDan Xu, Jiaolan He, You Li. 1-8 [doi]
- Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature ExtractionRong Yao, Chongdang Liu, Linxuan Zhang, Peng Peng. 1-7 [doi]
- Gearbox Fault Diagnostics Using Deep Learning with Simulated DataOzhan Gecgel, Stephen Ekwaro-Osire, João Paulo Dias, Abdul Serwadda, Fisseha M. Alemayehu, Abraham Nispel. 1-8 [doi]
- NDE 4.0: Smart NDEDebejyo Chakraborty, Megan E. McGovern. 1-8 [doi]
- An Adaptive Fault Diagnosis System Framework for Aircraft Based on Man-in-loopLu Yang, Jian Wang, Guigang Zhang, Xingwang Li, Haiyan Fu. 1-4 [doi]
- Transferring Random Samples in Actuator Systems for Binary Damage DetectionTyler Cody, Stephen C. Adams, Peter A. Beling, Sherwood Polter, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Kennet Castillo, Ryan Meekins. 1-7 [doi]
- Part Name NormalizationAnne Kao, Nobal B. Niraula, Daniel Whyatt. 1-6 [doi]
- Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural NetworksHamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta 0001. 1-7 [doi]
- Fault Diagnosis of Lubrication System in Internal Combustion EngineAzeem Sarwar, Syed Bilal Mehdi. 1-8 [doi]
- Data-Driven Model Selection Study for Long-Term Performance Deterioration of Gas TurbinesYuan Liu, Avisekh Banerjee, Houman Hanachi, Amar Kumar. 1-8 [doi]
- A Physics-based prognostics approach for Tidal TurbinesFraser Ewing, Philipp R. Thies, Jonathan K. Shek, Claudio Bittencourt. 1-7 [doi]
- Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural NetworksBaihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli. 1-8 [doi]
- An FBG based smart clamp fabricated by 3D printing technology and its application to incipient clamp looseness detectionZechao Wang, Mingyao Liu, Yongzhi Qu, Qin Wei, Zude Zhou, Yuegang Tan, Liu Hong, Jun Zhang. 1-10 [doi]
- Application of Deep Learning for Fault Diagnostic in Induction Machine's BearingsNastaran Enshaei, Farnoosh Naderkhani. 1-7 [doi]
- Formulation and Solution for the Predictive Maintenance Integrated Job Shop Scheduling ProblemSimon Zhai, Alexander Riess, Gunther Reinhart. 1-8 [doi]
- High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal AnalysisFangzhou Cheng, Ajay Raghavan, Deokwoo Jung, Yukinori Sasaki, Yosuke Tajika. 1-8 [doi]
- Construction and Application of Failure Prediction and Health Management System for Bearing of Running Gear of Rolling StockHongzhi Song, Li Li, Xingkuan Yang, Zhenzhong Fan. 1-6 [doi]
- Data-Informed Lifetime Reliability Prediction for Offshore Wind FarmsAlexios Koltsidopoulos Papatzimos, Philipp R. Thies, Jérôme Lonchampt, Antoine Joly, Tariq Dawood. 1-8 [doi]
- Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural NetworksQingfeng Yao, Tianji Yang, Zhi Liu, Zeyu Zheng. 1-6 [doi]
- Data-driven prognostics of remaining useful life for milling machine cutting toolsYen-Chun Liu, Yuan-Jen Chang, Sheng-Liang Liu, Szu-Ping Chen. 1-5 [doi]
- Vibration feature extraction using local temporal self-similarity for rolling bearing fault diagnosisShichen Zeng, Guoliang Lu, Peng Yan. 1-5 [doi]
- A Novel Bearing Health Indicator Construction Method Based on Ensemble Stacked AutoencoderPengfei Lin, Jizhong Tao. 1-9 [doi]
- A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft EngineShaowei Chen, Meng Wu, Shuai Zhao 0003, Pengfei Wen, Dengshan Huang, Yan Wang. 1-7 [doi]
- A novel unsupervised anomaly detection for gas turbine using Isolation ForestShisheng Zhong, Song Fu, Lin Lin, Xuyun Fu, Zhiquan Cui, Rui Wang. 1-6 [doi]
- Research on General Aircraft Cluster Health Assessment MethodGuigang Zhang, Sujie Li, Nan Yang, Haixia Su, Jian Wang 0029, Lan Huang, Huiyun Wang. 1-6 [doi]
- Data-driven Prognosis of Fatigue-induced Delamination in Composites using Optical and Acoustic NDE methodsPortia Banerjee, Rajendra P. Palanisamy, Mahmood Haq, Lalita Udpa, Yiming Deng. 1-10 [doi]
- Diagnosing Strong-fault Models with a Two-step A* Search MethodQi Zhao, Wenfeng Zhang, Yuhao Deng, Hongbo Zhao, Wenquan Feng. 1-8 [doi]
- Estimating remaining useful life of machine tool ball screws via probabilistic classificationMaximilian Benker, Robin Kleinwort, Michael F. Zäh. 1-7 [doi]
- A One-Class Support Vector Machine Calibration Method for Time Series Change Point DetectionBaihong Jin, Yuxin Chen 0001, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli. 1-5 [doi]
- Load sharing analysis of compound planetary gear set with cracked sun gearGuoyan Li, Linkai Niu, Liang Ma, Dehao Dong. 1-6 [doi]
- An Aging-Aware SOC Estimation Method for Lithium-Ion Batteries using XGBoost AlgorithmFu Jiang, Jiajun Yang, Yijun Cheng, Xiaoyong Zhang, Yingze Yang, Kai Gao, Jun Peng 0001, Zhiwu Huang. 1-8 [doi]
- An Improved Particle Filter Method for Accurate Remaining Useful Life PredictionDengshan Huang, Meinan Wang, Shuai Zhao 0003, Pengfei Wen, Shaowei Chen, Zhi Dou. 1-8 [doi]
- Remaining Useful Life Estimation Using Functional Data AnalysisQiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta 0001. 1-8 [doi]
- Wheel Polygonalization Identification Method Based on Fluctuation of Temperature Data and Wheel Set Dynamic Monitoring DataZejun Zheng, Dongli Song, Xiaoyue Qi, Zilin Geng, Weihua Zhang. 1-5 [doi]
- Fault Detection and Classification of Time Series Using Localized Matrix ProfilesJing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino. 1-7 [doi]
- Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency SpectrogramsPengfei Liang, Chao Deng, Jun Wu 0012, Zhixin Yang, Jinxuan Zhu. 1-5 [doi]
- Dynamic Programming Model for Multi-Stage Reliability Growth PlanningDong Xu, Zhaojun Steven Li. 1-6 [doi]
- Diagnosis of Membrane Chemical Degradation For Health Management of Polymer Electrolyte Fuel CellsDerek Low, Lisa Jackson, Sarah Dunnett. 1-8 [doi]
- Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernelZhexiang Chi, Lijian Yang, Jing Lin, Simin Huang. 1-5 [doi]
- Unsupervised Fault Detection in Varying Operating ConditionsGabriel Michau, Olga Fink. 1-10 [doi]
- Quantifying the Impact of Prognostic Distance on Average Cost per CycleSaikath Bhattacharya, Lance Fiondella, Saurabh Saxena, Michael G. Pecht. 1-7 [doi]
- An Operation Condition-Matched Similarity Method for Remaining Useful Life Estimation with Dynamic Sample FusionYuxuan Yang, Zhan Bao Gao, Shu Zhang, Xulong Li. 1-9 [doi]
- Degradation Estimation of Turbines in Wind Farm Using Denoising Autoencoder ModelShuichi Sato, Katsushi Sanda. 1-6 [doi]
- A Multivalued Test and Diagnostic Strategy Optimization Method for Aircraft System Fault DiagnosisYan Su, Xue Rui Liang, Chenxuan Gu, Varun Khemani, Michael G. Pecht. 1-6 [doi]
- Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter SystemsHasan Ferdowsi, Jia Cai, Sarangapani Jagannathan. 1-8 [doi]
- A Deep Learning Approach for Failure Prognostics of Rolling Element BearingsMohammadkazem Sadoughi, Hao Lu, Chao Hu. 1-7 [doi]
- A Measurement Frequency Estimation Method for Failure Prognosis of an Automated Tire Condition Monitoring SystemRobert Meissner, Hendrik Meyer, Florian Raddatz. 1-8 [doi]
- Predicting Time-to-Failure of Plasma Etching Equipment using Machine LearningAnahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter de Boer. 1-8 [doi]
- Electronic Circuit Diagnosis with No DataVarun Khemani, Michael H. Azarian, Michael G. Pecht. 1-7 [doi]
- Building the Tower of Babel for Big DataAdnan Mian, Richard Ronson. 1-8 [doi]
- Generating Real-valued Failure Data for Prognostics Under the Conditions of Limited Data AvailabilityGishan Don Ranasinghe, Ajith Kumar Parlikad. 1-8 [doi]
- A Data-Based Approach for Sensor Fault Detection and Diagnosis of Electro-Pneumatic BrakeYunyou Lu, Xiaoping Fan, Dianzhu Gao, Yijun Cheng, Yingze Yang, Xiaoyong Zhang, Shuo Li 0006, Jun Peng 0001. 1-6 [doi]
- Remaining useful life Prediction of air springFarzaneh Ahmadzadeh, Jonas Biteus, Olof Steinert. 1-5 [doi]
- Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian ProcessMeng Li, Mohammadkazem Sadoughi, Sheng Shen, Chao Hu. 1-6 [doi]
- Early gear tooth crack detection based on singular value decompositionYuejian Chen, Ming Jian Zuo. 1-6 [doi]
- Research on the Propagation of Defects in Assembly Process Based on SIR Epidemic ModelMengyao Wu, Wei Dai 0005, Yu Zhao. 1-6 [doi]
- A parameter adaptive data-driven approach for remaining useful life prediction of solenoid valvesXuanheng Tang, Jun Peng 0001, Bin Chen, Fu Jiang, Yingze Yang, Rui Zhang, Dianzhu Gao, Xiaoyong Zhang, Zhiwu Huang. 1-6 [doi]