International Conference on Information and Knowledge Technology

فارسی

Home / پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Predictive Maintenance using LSTM and Adaptive Windowing

Authors :

Aien Ghanbari Adivi¹ Behrouz Shahgholi Ghahfarokhi²

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.

List of archived papers

سیستم پیشنهاددهنده غذای سالم با استفاده از داده کاوی عادت های تغذیه ای کاربران

محمد عباسی - مریم حسینی پزوه - محمدرضا شمس

طراحی نرم افزاری مبتنی بر واقعیت افزوده با کاربرد فروش عینک

مینا علیانژاد - نسترن زنجانی - زهرا عسکری نژاد امیری

Data Analysis to Reduce Electrical Power Plants

Amirali Sahraei - Jamshid Shanbehzadeh

بررسی تأثیر استقرار استاندارد COBIT در افزایش بهره وری سازمان‌ها (مطالعه موردی: شعب نمایندگی‌های همراه اول، ایرانسل، رایتل)

دکتر محمد ابراهیم سمیع - ساره رحمانیان محمد ابراهیم سمیع - ساره رحمانیان -

An efficient hybrid approach for performance-based alternative design evaluation in systems engineering

Abbas Chaman Para - Maryam Nooraei Abadeh - Sondos Bahadori

Task Scheduling for Real-time Object Detection: Methods and Performance Comparison in ADAS Applications

Mahdi Seyfipoor - Sayyed Muhammad Jaffry - Siamak Mohamadi

Two Novel Designs of Efficient Single-Bit Comparators in QCA Technology with Ultra-Low Energy Dissipation

Shobeir Fayazi - Hatam Abdoli

Attention-Enhanced Ensemble Learning for Automated Stenosis Detection in X-ray Coronary Angiography Videos

Marzieh Sadat Hosseini - Ahmad R. Naghsh-Nilchi - Mehran Safayani - Masoumeh Sadeghi

تشخیص حمله تزریق داده کاذب با روش OCD در شبکه هوشمند برق

محدثه جلیلی سنجرانی - سعید جلیلی - محمدکاظم شیخ الاسلامی

Design and Simulation of an Accident Prevention System Based on Weather Conditions and Internet of Things

Forouzan Dastbaz - Abdolah Chalechale

more

Samin Hamayesh - Version 43.8.0