Results 141 to 150 of about 2,923,375 (341)
Fault diagnosis method for redundancy sensors of electric actuator
In order to solve the singular fault modes of redundant position sensors in electric actuators, a fault diagnosis method based on Hall sensor analytical model is proposed on the basis of traditional redundancy comparison algorithm.
CUI Yuwei, LI Aijun, SUN Yang
doaj +1 more source
Towards Self-Supervised High Level Sensor Fusion
In this paper, we present a framework to control a self-driving car by fusing raw information from RGB images and depth maps. A deep neural network architecture is used for mapping the vision and depth information, respectively, to steering commands ...
Khan, Qadeer +2 more
core
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Application of RBF Neural Network to Locomotive Speed Sensor Fault Diagnosis
An locomotive speed sensor fault diagnosis method based on Radial Basis Function (RBF) neural network was presented. RBF neural network predictor was built by taking common faults of photoelectric speed sensor as model.
XIE Bin, LI Guo-ning, FENG Tao, LI Bo
doaj
Actuator Fault Diagnosis with Robustness to Sensor Distortion
Actuator fault diagnosis is often studied under strong assumptions on available sensors. Typically, it is assumed that the sensors are either fault free or sufficiently redundant.
Qinghua Zhang
doaj +1 more source
A Novel Adaptive Sensor Fault Estimation Algorithm in Robust Fault Diagnosis. [PDF]
Pazera M, Witczak M.
europepmc +1 more source
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande +11 more
wiley +1 more source
Multi-Sensor Fault Diagnosis Based on Time Series in an Intelligent Mechanical System. [PDF]
Xu Z, Li Q, Qian L, Wang M.
europepmc +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive. [PDF]
Tran CD +4 more
europepmc +1 more source

