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

PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph

Romina Etezadi - Mehrnoush Shamsfard

Knowledge gap extraction based on the learner click behavior in interaction with videos using the association rule algorithm

Yosra Bahrani - Omid Fatemi

Paths-oriented Test Data Generation using Genetic Algorithm

Mohammad Reza Hassanpour Charmchi - Dr Bagher Rahimpour cami

بررسی امنیت وفقی در اینترنت وسایل نقلیه

سیده یگانه غیور باغبانی - دکتر سعید جلیلی سیده یگانه غیور باغبانی - سعید جلیلی -

Detection and Identification of Cyber-Attacks in Cyber-Physical Systems Based on Machine Learning Methods

Zohre Nasiri Zarandi

Sparse Beamforming Design for Non-Coherent UD-CRAN with mm-Wave Fronthaul Links

Alireza M. Hosseini - Dr Abbas Mohammadi

جایگذاری مقادیر ازدست رفته در داده های سری زمانی چندمتغیره برای پیش بینی مرگ ومیر بیماران با رویکرد یادگیری عمیق مبتنی بر مکانیسم توجه

سید علی هاشمی - سعید جلیلی

کشف برخط تقلب پیشنهاد ساختگی (Bid-Shielding) در مناقصه و مزایده‌های الکترونیکی هلندی با رویکرد تحلیل شبکه اجتماعی

فاطمه الثلایا - دکتر سید علیرضا هاشمی گلپایگانی فاطمه الثلایا - سید علیرضا هاشمی گلپایگانی -

Adaptive Stopping Criteria-based A-RANSAC algorithm in Copy Move Image Forgery detection

ZAHRA HOSEINNEJAD - Dr MEHDI NASRI

SBST challenges from the perspective of the test techniques

Sepideh Kashefi Gargari - Dr Mohammad Reza Keyvanpour

more

Samin Hamayesh - Version 42.0.3