Results 51 to 60 of about 9,948,079 (293)

A failure-efficient prediction of remaining useful life

Machine Learning. Engineering
Predicting the remaining useful life (RUL) is crucial for effective condition-based maintenance, enhancing cost-effectiveness, productivity, and safety by enabling timely maintenance interventions. A fundamental challenge in data-driven RUL prediction is
Sang Bin Moon, Gopal Chitalia, Jan-Anders Mansson, Abolfazl Hashemi   +3 more
doaj   +1 more source

Remaining Useful Life Prediction of End Mills Using DCNN-McBiLSTM-LRSA with Multi-Source Sensory Signals

Applied Sciences
In precision mold manufacturing, the machining of HRC52 hardened steel causes severe tool wear and high noise in multi-source sensor signals, making accurate remaining useful life (RUL) prognostics challenging.
Ganglong Duan, Haonan Sun, Sijia Zhong, Hongquan Xue   +3 more
doaj   +1 more source

Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner

Shock and Vibration, 2021
The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao, Shuqiang Wang, Mengfan Chen, Deng Pan   +3 more
doaj   +1 more source

Remaining Useful Life Estimation of Bearings

International Journal of Prognostics and Health Management, 2021
In the domain of predictive maintenance, when trying to repli- cate and compare research in remaining useful life estimation (RUL), several inconsistencies and errors were identified in the experimental methodology used by various researchers. This makes the replication and the comparison of results diffi- cult, thus severely hindering both progress in
Hugo M. Ferreira, Alexandre C. de Sousa
openaire   +3 more sources

Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham, Teyl Engstrom, Peter Baade, Natalie Bradford, Sarah Pont, Louise Marquart‐Wilson, Natasha Nassar, Jason D. Pole   +7 more
wiley   +1 more source

Attention-Gaussian-LSTM-Wiener based remaining useful life prediction method

Autonomous Intelligent Systems
Most machine learning-based remaining useful life (RUL) prediction methods only yield point predictions, and their “black-box” nature results in low interpretability.
Shuiyuan Cao, Liguo Qin, Hanwen Zhang, Aiming Wang, Jun Shang   +4 more
doaj   +1 more source

Life extension of wind turbine drivetrains by means of SCADA data: Case study of generator bearings in an onshore wind farm

Results in Engineering
Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in reducing downtime, optimising maintenance strategies, extending operational life and improving costs.
Kelly Tartt, Abbas Mehrad Kazemi-Amiri, Amir R. Nejad, James Carroll, Alasdair McDonald   +4 more
doaj   +1 more source

Automated Machine Learning for Remaining Useful Life Predictions

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL predictions are becoming prevalent over model-based approaches since no underlying physical knowledge of the engineering system is required.
Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber   +4 more
openaire   +3 more sources

Bone and Soft Tissue Neoplasms in Infants Versus Older Children: A Report From the Cancer in Young People in Canada Program

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine, Hallie Coltin, Maria Kondyli, Monia Marzouki, Nicolas Prud'homme, Nida Usmani, Rebecca J. Deyell, Lesleigh Abbott, Tony H. Truong, Sapna Oberoi, Ketan Kulkarni, Josée Brossard, Lynette Bowes, Paul Gibson, Sarah McKillop, Roona Sinha, Lillian Sung, Catherine Vezina, Laura Wheaton, Alexandra P. Zorzi, Marie‐Claude Pelland‐Marcotte, Thai Hoa Tran   +21 more
wiley   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source