Results 91 to 100 of about 239,815 (291)

Remaining Useful Life Prediction and Fault Diagnosis of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network

Shock and Vibration, 2020
Rolling bearings play a pivotal role in rotating machinery. The remaining useful life prediction and fault diagnosis of bearings are crucial to condition-based maintenance.
Shuang Zhou, Maohua Xiao, Petr Bartos, Martin Filip, Guosheng Geng   +4 more
doaj   +1 more source

Estimating System State through Similarity Analysis of Signal Patterns

Sensors, 2020
State prediction is not straightforward, particularly for complex systems that cannot provide sufficient amounts of training data. In particular, it is usually difficult to analyze some signal patterns for state prediction if they were observed in both ...
Kichang Namgung, Hyunsik Yoon, Sujeong Baek, Duck Young Kim   +3 more
doaj   +1 more source

Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference

, 2019
Mutation analysis can effectively capture the dependency between source code and test results. This has been exploited by Mutation Based Fault Localisation (MBFL) techniques.
An, Gabin, Feldt, Robert, Kim, Jinhan, Yoo, Shin   +3 more
core   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

Molecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang   +12 more
wiley   +1 more source

Cascading fault path prediction of large-scale wind power grid-connected system based on bi-level multi-objective decision

Diance yu yibiao
The uncertainty of wind power output increases the difficulty of cascading fault path prediction. Therefore, this paper proposes a cascading fault path prediction method for large-scale wind power grid-connected system based on bi-level multi-objective ...
WU Yuhang, LIU Xiangyu, WANG Tao, GU Xueping   +3 more
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

First-principles prediction of the stacking fault energy of gold at finite temperature

, 2017
The intrinsic stacking fault energy (ISFE) $\gamma$ is a material parameter fundamental to the discussion of plastic deformation mechanisms in metals.
Li, Xiaoqing, Schönecker, Stephan
core   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction

Future Internet
In this study, we investigate a deep learning-based vehicle fault prediction model aimed at achieving accurate prediction of vehicle faults by analyzing the correlations among different faults and the impact of critical faults on future fault development.
Hong Jia, Dalin Qian, Fanghua Chen, Wei Zhou   +3 more
doaj   +1 more source

Prediction Model of Vibration Feature for Equipment Maintenance Based on Full Vector Spectrum

Shock and Vibration, 2017
Establishing a prediction model is a key step for the implementation of prognostic and health management. The prediction model can be used to forecast the change trend of the characteristics of the vibration signal and analyze the potential failure in ...
Lei Chen, Jie Han, Wenping Lei, ZhenHong Guan, Yajuan Gao   +4 more
doaj   +1 more source