Stability of Perovskite Thin Films under Working Condition: Bias‐Dependent Degradation and Grain Boundary Effects
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202103894
Abstract: Witnessed by the rapid increase of power conversion efficiency to 25.5%, organic–inorganic hybrid perovskite solar cells (PSCs) are becoming promising candidates of next‐generation photovoltaics. However, PSCs can be unstable under the influence of light and… read more here.
Keywords: bias; decomposition; microscopy; bias dependent ... See more keywords
Evaluation of Flotation Working Condition Recognition Based on An Improved Apriori Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.404
Abstract: Abstract Based on machine vision and image processing technology, a large number of methods have been proposed for flotation working condition recognition in froth flotation industry. However, in these condition recognition methods, there lacks internal… read more here.
Keywords: condition; flotation; evaluation; condition recognition ... See more keywords
A layered working condition perception integrating handcrafted with deep features for froth flotation
Sign Up to like & getrecommendations! Published in 2021 at "Minerals Engineering"
DOI: 10.1016/j.mineng.2021.107059
Abstract: Abstract To effectively recognise the working condition in froth flotation, many existing methods separately focus on handcrafted features or deep features. Considering that deep features complement handcrafted features with more detailed information, a layered working… read more here.
Keywords: condition; flotation; perception; deep features ... See more keywords
A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2996713
Abstract: As mechanical fault diagnosis enters the era of big data, the traditional fault diagnosis methods under variable working condition are difficult to be applied because of the massive computation cost and excessive reliance on human… read more here.
Keywords: working condition; diagnosis; variable working; fault diagnosis ... See more keywords
Decoupling Identification Method of Continuous Working Conditions of Diesel Engines Based on a Graph Self-Attention Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3164077
Abstract: Complex and changeable working conditions are important factors affecting the accuracy and robustness of diesel engine fault diagnosis models. Working condition identification can provide a basic reference for the unit operation state, which is of… read more here.
Keywords: continuous working; condition; working condition; identification ... See more keywords
Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3172704
Abstract: This article proposes a novel deep transfer learning-based online remaining useful life (RUL) approach for rolling bearings under unknown working condition. This approach solves the following concerns: the drift of online working condition would block… read more here.
Keywords: working condition; remaining useful; life; prediction ... See more keywords
The Impact of Physical Working Condition on Operational Employees’ Job Performance in Large Garment Factory in Galle District, Sri Lanka
Sign Up to like & getrecommendations! Published in 2017 at "Human Resource Management Journal"
DOI: 10.31357/hrmj.v5i2.3577
Abstract: Area of the Study This study discusses the impact of physical working condition on job performance of operational employees in large scale garment factories in Galle district. Problem of the Study There is an empirical… read more here.
Keywords: physical working; condition; working condition; job performance ... See more keywords