Fault Injection for Embedded Microprocessor-based Systems [PDF]
, 1999 Microprocessor-based embedded systems are increasingly used to control safety-critical systems (e.g., air and railway traffic control, nuclear plant control, aircraft and car control).
Rebaudengo,Maurizio +6 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Fault estimation and fault-tolerant control for discrete-time dynamic systems [PDF]
, 2015 In this paper, a novel discrete-time estimator is proposed, which is employed for simultaneous estimation of system states, and actuator/sensor faults in a discrete-time dynamic system.
Gao, Zhiwei
core +1 more source
A Spiking Neural Network with Attention and Residual Mechanisms for Compound Fault Detection
MachinesTo address the challenges of severe multi-source coupling, easily masked spiking features, and limited selection of key responses in compound fault signals, this paper proposes a compound fault detection method based on a spiking attention residual ...
Yulong Xing +6 more
doaj +1 more source
PLoS ONE, 2014 A Compound fault signal usually contains multiple characteristic signals and strong confusion noise, which makes it difficult to separate week fault signals from them through conventional ways, such as FFT-based envelope detection, wavelet transform or ...
Huaqing Wang +5 more
doaj +1 more source
Dirichlet-weighted composite data synthesis for robust transfer learning in high-speed railway bearing fault diagnosis [PDF]
PeerJ Computer ScienceHigh-Speed Railway (HSR) bearing health monitoring is essential for ensuring operational safety, reducing unexpected service interruptions, and supporting condition-based maintenance in practical railway systems. In real engineering environments, however,
Hanwei Zheng +9 more
doaj +2 more sources
An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
wiley +1 more source
Toward compound fault diagnosis via EMAGAN and large kernel augmented few-shot learning
Frontiers in Mechanical EngineeringBearings are essential in machinery. Damage to them can cause financial losses and safety risks at industrial sites. Therefore, it is necessary to design an accurate diagnostic model.
Wenchang Xu +5 more
doaj +1 more source
Application of improved FastICA algorithm in compound fault diagnosis of vibrating scree
Gong-kuang zidonghua, 2017 In view of problem that common fault characteristic extraction methods could not extract compound fault characteristic completely and effectively, an improved fast independent component analysis(FastICA) algorithm was proposed.
XU Yuanbo, CAI Zongyan
doaj +1 more source