Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Recent progress and prospective evaluation of fault diagnosis strategies for electrified drive powertrains: A comprehensive review
Z Pengbo, C Renxiang, X **angyang, Y Lixia… - Measurement, 2023 - Elsevier
Abstract numerous diagnostic techniques targeted at increasing electrified drive powertrains
system (EDPS) dependability and durability have been proposed, motivated by the growing …
system (EDPS) dependability and durability have been proposed, motivated by the growing …
Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study
Despite significant progress in the Prognostics and Health Management (PHM) domain
using pattern learning systems from data, machine learning (ML) still faces challenges …
using pattern learning systems from data, machine learning (ML) still faces challenges …
Addressing practical challenges in active learning via a hybrid query strategy
D Agarwal, P Srivastava, S Martin-del-Campo… - arxiv preprint arxiv …, 2021 - arxiv.org
Active Learning (AL) is a powerful tool to address modern machine learning problems with
significantly fewer labeled training instances. However, implementation of traditional AL …
significantly fewer labeled training instances. However, implementation of traditional AL …
Addressing uncertainties within active learning for industrial IoT
D Agarwal, P Srivastava… - 2021 IEEE 7th World …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is a key enabler of Industry 4.0 with networked devices providing
sensor data to help manage, automate, streamline and optimize assets, operations and …
sensor data to help manage, automate, streamline and optimize assets, operations and …
Foundational models for fault diagnosis of electrical motors
S Anbalagan, D Agarwal, B Natarajan… - … Conference on Power …, 2023 - ieeexplore.ieee.org
A majority of recent advancements related to the fault diagnosis of electrical motors are
based on the assumption that training and testing data are drawn from the same distribution …
based on the assumption that training and testing data are drawn from the same distribution …
Active Foundational Models for Fault Diagnosis of Electrical Motors
S Anbalagan, SS GP, D Agarwal, B Natarajan… - arxiv preprint arxiv …, 2023 - arxiv.org
Fault detection and diagnosis of electrical motors are of utmost importance in ensuring the
safe and reliable operation of several industrial systems. Detection and diagnosis of faults at …
safe and reliable operation of several industrial systems. Detection and diagnosis of faults at …
IPMS for load sharing, monitoring and diagnosis of electrical loads in AFVs
D Agarwal, S Ramu, M Nagarajan… - 2020 7th …, 2020 - ieeexplore.ieee.org
The need to increase operational range and meet high power demands during various
missions has significantly escalated the requirement of efficient power management …
missions has significantly escalated the requirement of efficient power management …
Gaussian Mixture Model and Bond Graph tools for the elaboration of an efficient fault diagnosis procedure
N Mebarki, LH Mouss, T Bentrcia… - 2024 2nd …, 2024 - ieeexplore.ieee.org
In this study, we exploit the advantages of an integrated approach built upon a model-based
method (bond graph) and a data-based method (Gaussian Mixture Model) for the …
method (bond graph) and a data-based method (Gaussian Mixture Model) for the …
Active Foundational Models for Fault Diagnosis of Electrical Motors
B Srinivasan, R Srinivasan, B Natarajan… - Available at SSRN … - papers.ssrn.com
Fault detection and diagnosis of electrical motors are of utmost importance in ensuring the
safe and reliable operation of several industrial systems. Detection and diagnosis of faults at …
safe and reliable operation of several industrial systems. Detection and diagnosis of faults at …