Results 111 to 120 of about 336,417 (303)

Bearing Fault Diagnosis Based on Vibration Envelope Spectral Characteristics

Applied Sciences
Deep learning methods based on neural network models have been widely applied to bearing fault classification. Although they can achieve high accuracy, they also come with significant complexity.
Yang Chen, Qifu Chen, Rui Wang
doaj   +1 more source

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

FEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho, Rebecca Schmitt, Aneesha Dasgupta, Alexandra Ducharme, Jason Doles   +4 more
wiley   +1 more source

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method

Scientific Reports
To address the limitations of conventional feature extraction methods in capturing fault information from operational current signals, the paper proposes a novel fault diagnosis method for permanent magnet synchronous motor (PMSM).
Yinquan Yu, Hongping Ge, Giuseppe Carbone, Dequan Zeng, Yiming Hu, Jinwen Yang   +5 more
doaj   +1 more source

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source

A data enlargement strategy for fault classification through a convolutional auto-encoder

MATEC Web of Conferences, 2019
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui, Kesheng Wang, Yu Li, Binyuan Yang, Qiang miao   +4 more
doaj   +1 more source

Event Analysis of Pulse-reclosers in Distribution Systems Through Sparse Representation

, 2017
The pulse-recloser uses pulse testing technology to verify that the line is clear of faults before initiating a reclose operation, which significantly reduces stress on the system components (e.g.
Hay, R., Raoufat, M. E., Taalimi, A., Tomsovic, K.   +3 more
core   +1 more source

YIPFα1A expression is regulated by multilayered molecular mechanisms

FEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji, Yurika Nakanishi, Nobuhiro Nakamura   +2 more
wiley   +1 more source

Surveillance system and method having an operating mode partitioned fault classification model [PDF]

, 2005
A system and method which partitions a parameter estimation model, a fault detection model, and a fault classification model for a process surveillance scheme into two or more coordinated submodels together providing improved diagnostic decision making ...
Bickford, Randall L.
core   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

IET Electric Power Applications
Intelligent motor fault diagnosis in industrial applications requires identifying key characteristics to differentiate various fault types effectively.
Chun‐Yao Lee, Edu Daryl C. Maceren
doaj   +1 more source