Results 101 to 110 of about 98,534 (301)
Qualitative Faults Diagnosis Algorithm: Theory and Detection
This paper presents a qualitative theory for faults diagnosis. We extend Reiter's [1] theory to deal with the dynamic and continuous systems and offer a necessary assumption and the corresponding propositions. Then we propose an algorithm of detection of faults and extend it to the multi-faults case.
Ye Zhang +3 more
openaire +2 more sources
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley +1 more source
Fault Self-Diagnosis for Modular Robotic Systems Using M-Lattice Modules
In the domain of modular robotic systems, self-configuration, self-diagnosis and self-repair are known to be highly challenging tasks. This paper presents a novel fault self-diagnosis strategy which consists of two parts: fault detection and fault ...
Enguang Guan +5 more
doaj +1 more source
Consensus-Based Method for Anomaly Detection in VAV Units
Buildings account for large part of global energy consumption. Besides energy consumed due to normal operation, a large amount of energy can be wasted due to faults in buildings subsystems.
Claudio Giovanni Mattera +2 more
doaj +1 more source
Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik +6 more
wiley +1 more source
Improved sensor fault detection, isolation, and mitigation using multiple observers approach
Traditional fault detection and isolation (FDI) methods analyze a residual signal to detect and isolate sensor faults. The residual signal is the difference between the sensor measurements and the estimated outputs of the system based on an observer. The
Zheng Wang +3 more
doaj +1 more source
Fault Diagnostics for Turbo-Shaft Engine Sensors Based on a Simplified On-Board Model
Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies
Yaodong Xing, Jinquan Huang, Feng Lu
doaj +1 more source
FIESTA: An operational decision aid for space network fault isolation [PDF]
The Fault Tolerance Expert System for Tracking and Data Relay Satellite System (TDRSS) Applications (FIESTA) is a fault detection and fault diagnosis expert system being developed as a decision aid to support operations in the Network Control Center (NCC)
Lowe, Dawn +4 more
core +1 more source
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
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 +4 more
wiley +1 more source
A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility. [PDF]
Ahern M, O'Sullivan DTJ, Bruton K.
europepmc +1 more source

