Results 51 to 60 of about 297,161 (352)
Incremental fault diagnosis [PDF]
Fault diagnosis is important in improving the circuit-design process and the manufacturing yield. Diagnosis of today's complex defects is a challenging problem due to the explosion of the underlying solution space with the increasing number of fault locations and fault models. To tackle this complexity, an incremental diagnosis method is proposed. This
Andreas Veneris, J.B. Liu
openaire +2 more sources
A Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms [PDF]
In this study, a Markovian jump model of the power generation system of a wind turbine is proposed and the authors present a closed-loop model-based observer to estimate the faults related to energy losses.
Peñarrocha-Alós, Ignacio +1 more
core +2 more sources
A Survey on Gas Leakage Source Detection and Boundary Tracking with Wireless Sensor Networks
Gas leakage source detection and boundary tracking of continuous objects have received a significant research attention in the academic as well as the industries due to the loss and damage caused by toxic gas leakage in large-scale petrochemical plants ...
Lei Shu +4 more
doaj +1 more source
Argumentation-based fault diagnosis for home networks [PDF]
Home networks are a fast growing market but managing them is a difficult task, and diagnosing faults is even more challenging. Current fault management tools provide comprehensive information about the network and the devices but it is left to the user ...
Dong, Changyu, Dulay, Naranker
core +1 more source
Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors
Rotating machinery is widely used in modern industry. It is one of the most critical components in a variety of machinery and equipment. Along with the continuous development of science and technology, the structures of rotating machinery become of ...
Qing-Hua Zhang +4 more
doaj +1 more source
A Condition-Monitoring Method for Rolling Bearings Based on Dynamic Asynchronous Peak-Factor Ratios
In response to issues such as the lack of capability for timely early warning and the difficulty in monitoring the status of rolling bearings, a condition-monitoring method for rolling bearings based on the Honey Badger Algorithm (HBA) for optimizing ...
Guanhua Zhu, Quansi Huang, Zeyu Zhang
doaj +1 more source
Angiotensin II (AngII), a neuropeptide, interacts with amyloid‐β (Aβ), a key player in Alzheimer's disease. This study reveals that AngII reduces Aβ aggregation and membrane disruption in vitro. Biophysical assays and molecular modeling suggest AngII binds disordered Aβ forms, potentially modulating early amyloidogenic events and contributing to ...
Mohsen Habibnia +5 more
wiley +1 more source
Sliding window constrained fault-tolerant filtering of compressor vibration data
This paper presents a sliding window constrained fault-tolerant filtering method for sampling data in petrochemical instrumentation. The method requires the design of an appropriate sliding window width based on the time series, as well as the expansion ...
Shaolin Hu, Xianxi Chen, Guoxi Sun
doaj +1 more source
A distributed networked approach for fault detection of large-scale systems [PDF]
Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems.
Boem, F +4 more
core +1 more source

