0% Complete
فارسی
Home
/
پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Predictive Maintenance using LSTM and Adaptive Windowing
Authors :
Aien Ghanbari Adivi
1
Behrouz Shahgholi Ghahfarokhi
2
1- University of Isfahan
2- University of Isfahan
Keywords :
predictive maintenance،deep learning،LSTM،time series analysis
Abstract :
Predictive maintenance is a critical approach in modern industries, aiming to forecast equipment failures and reduce downtime by leveraging operational data. Traditional methods, such as time series analysis, struggle to capture complex temporal dependencies in large-scale datasets. In this study, we propose an innovative solution that integrates Long Short-Term Memory (LSTM) networks with an adaptive windowing strategy for predictive maintenance. Unlike conventional methods that rely on fixed window sizes, our approach dynamically adjusts the window size based on the data's characteristics, optimizing the temporal context provided to the model. We apply this method to the Microsoft Azure predictive maintenance dataset from Kaggle and demonstrate that the adaptive window size significantly enhances the precision of failure predictions. This research highlights the potential of combining LSTM with window size optimization to improve the accuracy and efficiency of predictive maintenance models in real-world industrial applications.
Papers List
List of archived papers
Knowledge gap extraction based on the learner click behavior in interaction with videos using the association rule algorithm
Yosra Bahrani - Omid Fatemi
Combinatorial Auction Based on Social Choice in the Internet of Things
Maede Esmaeili - Faria Nassiri-Mofakham - Fatemeh Hassanvand
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
Romina Etezadi - Mehrnoush Shamsfard
بکارگیری الگوریتم بهینه سازی فاخته و منطق فازی به منظور بهبود زمانبندی وظایف در محیط محاسبات مه
فاطمه دوامی - حمید جلیلوند - فاطمه نجفی
Predicting Suicide Risk in Adolescents with Random Forest for Unbalanced Data Management
Fatemeh Rabbani - Dr Behrooz Masoumi - Dr Mohammad Reza Keyvanpour
Experimental analysis of automated negotiation agents in modeling Gaussian bidders
Fatemeh Hassanvand - Dr Faria Nassiri-Mofakham
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Faeze Sadati - Dr Behrooz Rezaie
Architectural Insights: Comparing Weight Stationary and Output Stationary Systolic Arrays for Efficient Computation
Mahdi Kalbasi
Using Deconvolutional Variational Autoencoder for Answer Selection in Community Question Answering
Golshan Afzali Boroujeni - Heshaam Faili
ISAAF: بهبود چارچوب مجوز خودتطبیق SAAF با استفاده از پیادهسازی مبتنی بر عامل و مفهوم I-Shairing
الهام معین الدینی - دکتر منیره عبدوس - دکتر اسلام ناظمی
more
Samin Hamayesh - Version 41.3.1