Results 31 to 40 of about 336,417 (303)
A Novel Multimode Fault Classification Method Based on Deep Learning
Journal of Control Science and Engineering, 2017 Due to the problem of load varying or environment changing, machinery equipment often operates in multimode. The data feature involved in the observation often varies with mode changing.
Funa Zhou, Yulin Gao, Chenglin Wen
doaj +1 more source
Self-protection and insurance with interdependencies [PDF]
, 2007 We study optimal investment in self-protection of insured individuals when they face interdependencies in the form of potential contamination from others.
Kunreuther, Howard, Muermann, Alexander
core +2 more sources
Sensors, 2020 Gearbox fault diagnosis based on the analysis of vibration signals has been a major research topic for a few decades due to the advantages of vibration characteristics.
Cong Dai Nguyen +3 more
doaj +1 more source
A Hybrid Gearbox Fault Diagnosis Method Based on GWO-VMD and DE-KELM
Applied Sciences, 2021 In this paper, a vibration signal-based hybrid diagnostic method, including vibration signal adaptive decomposition, vibration signal reconstruction, fault feature extraction, and gearbox fault classification, is proposed to realize fault diagnosis of ...
Gang Yao +3 more
doaj +1 more source
Model-Based Fault Classification for Automotive Software
, 2022 Intensive testing using model-based approaches is the standard way of demonstrating the correctness of automotive software. Unfortunately, state-of-the-art techniques leave a crucial and labor intensive task to the test engineer: identifying bugs in failing tests. Our contribution is a model-based classification algorithm for failing tests that assists
Becker, Mike +5 more
openaire +3 more sources
Real-Time Fault Classification for Plasma Processes [PDF]
Sensors, 2011 Plasma process tools, which usually cost several millions of US dollars, are often used in the semiconductor fabrication etching process. If the plasma process is halted due to some process fault, the productivity will be reduced and the cost will increase. In order to maximize the product/wafer yield and tool productivity, a timely and effective fault
Ryan Yang, Rongshun Chen
openaire +3 more sources
Automatic extraction of faults and fractal analysis from remote sensing data [PDF]
, 2007 Object-based classification is a promising technique for image classification. Unlike pixel-based methods, which only use the measured radiometric values, the object-based techniques can also use shape and context information of scene textures.
I. Niemeyer, P. R. Marpu, R. Gloaguen
core +3 more sources
Exploiting context when learning to classify [PDF]
, 1993 This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the training set.
Turney, Peter
core +4 more sources
Fault Classification in Predictive Maintenance
, 2023 Abstract In the field of predictive maintenance, “smart condition monitoring” extends beyond merely assessing the present state of manufacturing equipment. In today's landscape, businesses and research endeavors strive for deeper insights into equipment conditions, seeking to uncover potential causes behind issues or anticipate the remaining ...
Guenter Roehrich, Davide Raffaele
openaire +1 more source
Correct and Control Complex IoT Systems: Evaluation of a Classification for System Anomalies
, 2020 In practice there are deficiencies in precise interteam communications about system anomalies to perform troubleshooting and postmortem analysis along different teams operating complex IoT systems.
Heisse, Stefan +2 more
core +1 more source