Search Results - "2020 IEEE International Conference on Prognostics and Health Management (ICPHM)"

Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks by Rautela, Mahindra, Gopalakrishnan, S., Gopalakrishnan, Karthik, Deng, Yiming

“…Identification of elastic properties is crucial for nondestructive material characterization as well as for in-situ condition monitoring. In this paper, we…”
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Adversarial Transfer Learning for Machine Remaining Useful Life Prediction by Ragab, Mohamed, Chen, Zhenghua, Wu, Min, Kwoh, Chee Keong, Li, Xiaoli

“…Remaining useful life (RUL) prediction is a key task for realizing predictive maintenance for industrial machines/assets. Accurate RUL prediction enables prior…”
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Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine by Huang, Dengshan, Bai, Rui, Zhao, Shuai, Wen, Pengfei, Wang, Shengyue, Chen, Shaowei

“…Remaining useful life (RUL) prediction is a key component of reliability evaluation and conditional-basedmaintenance (CBM). In the existing prediction methods,…”
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Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder by Lee, Geunbae, Jung, Myungkyo, Song, Myoungwoo, Choo, Jaegul

“…This paper proposes a combination of convolutional neural network and auto-encoder (CAE) for unsupervised anomaly detection of industrial gas turbines…”
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Automated detection of textured-surface defects using UNet-based semantic segmentation network by Enshaei, Nastaran, Ahmad, Safwan, Naderkhani, Farnoosh

“…Over the recent years, developing a reliable auto-mated visual inspection system/approach for manufacturing and industry sectors which are moving toward smart…”
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Intelligent fault diagnosis of bearings based on feature model and Alexnet neural network by Shi, Xiaoyu, Cheng, Yuhua, Zhang, Bo, Zhang, Haonan

“…Bearings are necessary rotating machinery and plays an important role in the modern industrial systems for its safety and reliability. Timely fault diagnosis…”
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Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities by Shalaby, Walid, Arantes, Adriano, GonzalezDiaz, Teresa, Gupta, Chetan

“…Popular conversational agents frameworks such as Alexa Skills Kit (ASK) and Google Actions (gActions) offer unprecedented opportunities for facilitating the…”
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Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics by Abbasi, Amirhassan, Nazari, Foad, Nataraj, C.

“…Condition-based maintenance (CBM) is a predictive maintenance strategy that monitors the machinery states and provides optimum sets of maintenance decisions…”
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Defects Tracking via NDE Based Transfer Learning by Mukherjee, Subrata, Huang, Xuhui, Rathod, Vivek T., Udpa, Lalita, Deng, Yiming

“…Pipe infrastructure systems in service continue to degrade with passage of time. As the defects grow with time, for safety purposes, they have to be inspected…”
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Fatigue damage prognosis in adhesive bonded composite lap-joints using guided waves by Palanisamy, Rajendra Prasath, Banerjee, Portia, Mukherjee, Subrata, Haq, Mahmood, Deng, Yiming

“…Adhesive bonding have been increasingly employed in composite structures owing to several advantages over mechanically fastened or riveted joints. Adhesively…”
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Application of Machine Learning Algorithms for Patient Length of Stay Prediction in Emergency Department During Hajj by Hijry, Hassan, Olawoyin, Richard

“…Hospital emergency departments (EDs) in vital locations face high patient demand during peak events such as the annual Islamic pilgrimage (the Hajj event) in…”
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Scalable Wind Turbine Generator Bearing Fault Prediction Using Machine Learning: A Case Study by Williams, Lindy, Phillips, Caleb, Sheng, Shawn, Dobos, Aron, Wei, Xiupeng

“…Operation and maintenance (O&M) costs for wind turbines pose a risk to competitiveness and asset owners. With machine-learning technologies and digitalization…”
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Optimal Operation of Energy Storage Units in PV and Wind Integrated Smart Distribution Systems by Alam, Md Shahin, Ali Arefifar, Seyed

“…Energy storage systems (ESSs) facilitate high penetration and stable operation of renewable energy sources (RESs) in power distribution grids. ESSs could…”
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HPart and Condition Extraction from Aircraft Maintenance Records by Niraula, Nobal B, Kao, Anne, Whyatt, Daniel

“…Aircraft maintenance records contain vital information about airplane parts and their conditions in free-form text that are crucial health indicators of an…”
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Predicting Surface Roughness and Flank Wear in Turning Processes by Vuong, Nhu Khue, Xue, Yang, Liu, Shudong, Zhou, Yu, Wu, Min

“…In advanced manufacturing, the tool quality is critical to ensure the product quality, and thus needs to be closely monitored. However, directly measuring the…”
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Road-Deterioration Detection using Road Vibration Data with Machine-Learning Approach by Takanashi, Masaki, Ishii, Yoshinao, Sato, Shu-ichi, Sano, Noriyoshi, Sanda, Katsushi

“…Recently, the maintenance and management of infrastructure, such as paved roads and bridges, at a low cost has become important. Although some measurement…”
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A Neural Turing Machine-based approach to Remaining Useful Life Estimation by Falcon, Alex, D'Agostino, Giovanni, Serra, Giuseppe, Brajnik, Giorgio, Tasso, Carlo

“…Estimating the Remaining Useful Life of a mechanical device is one of the most important problems in the Prognostics and Health Management field. Being able to…”
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Life prediction of battery based on random forest optimized by genetic algorithm by Cailian, LI, chun, ZHANG

“…When the random forest algorithm is used for battery life prediction, the prediction result is unstable, and it is difficult to ensure the accuracy of the…”
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Extracting Mode Converted Guided Wave Response due to Delamination using Embedded Thin Film Sensors by Rathod, Vivek T., Mukherjee, Subrata, Udpa, Lalita, Deng, Yiming

“…Delamination is the most common type of damage that can occur in a composite structure at a very early stage of its operation. Detection, localization and…”
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Health Indicator Forecasting for Improving Remaining Useful Life Estimation by Wang, Qiyao, Farahat, Ahmed, Gupta, Chetan, Wang, Haiyan

“…Prognostics is concerned with predicting the future health of the equipment and any potential failures. With the advances in the Internet of Things (IoT),…”
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