Results 71 to 80 of about 2,598,939 (297)
Analog fault diagnosis: a fault clustering approach [PDF]
Proceedings ETC 93 Third European Test Conference, 2002 A novel analog circuit fault diagnosis method is proposed. This method uses a neural network paradigm to cluster different faults. It is capable of dealing with the common fault models in analog circuits, namely the catastrophic and parametric faults. The proposed technique is independent of the linearity or nonlinearity of the circuit.
Somayajula, S.S. +2 more
openaire +1 more source
Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
, 2023 It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor ...
Guangjie Han, Aohan Li, Xianzhang Zhou
core +1 more source
Molecular Oncology, EarlyView.We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2014 Hub unit bearings are key components in automobiles for carrying load and accurate piloting. The hub unit bearing must be of a smaller size and lighter weight to meet the requirements of automobile for higher fuel efficiency, improved ease of movement ...
Xiaohui LU, Xiaopeng XIE
doaj +1 more source
A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals [PDF]
, 2013 Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of
Chen, Zhi +5 more
core +1 more source
Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis
, 2022 Bearing fault diagnosis is important to ensure safe operation and reduce loss for most rotating machinery. In recent years, deep learning (DL) has been widely used for bearing fault diagnosis and has achieved excellent results.
Du, Junfei +7 more
core +1 more source
Molecular Oncology, EarlyView.Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou +4 more
wiley +1 more source
Scientific ReportsLow-light image enhancement aims to recover usable brightness, color fidelity, and fine details from underexposed imagery. In real-world conditions, however, enhancement models often suffer from noise amplification, color shifts, and local over-/under ...
Yifeng Lin +2 more
doaj +1 more source
Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
, 2020 Bearing elements are vital in induction motors; therefore, early fault detection of rolling-element bearings is essential in machine health monitoring.
Jong-Myon Kim +2 more
core +1 more source