Regression and Classification Model Based Predictive Maintenance of Aircrafts Using Neural Network
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 1
Abstract
One of the key objectives of today's businesses and mills is to predict machine problems. Failures must be avoided, because downtimes represent expensive expenses and a loss of productivity. This is why the number of remaining cycles (RULs) until the failure occurs is vital in machine maintenance. The estimations of the RUL should be based on earlier observations, whenever possible under the same conditions. In the research of RUL estimates, the creation of systems that monitor current equipment conditions is becoming crucial. I employed Long Short Term Memory (LSTM) in my project to determine an aircraft's remaining usable lives. The aircraft's functioning condition is also forecast. The former is done by a regression method, using a classification methodology predicted by working circumstances. In order to estimate operating conditions and remaining usable life of the aircraft, data utilized for LSTM models training are derived from 21 aircraft sensor readings located at different locations with three distinct settings.
Authors and Affiliations
Humaira Maqbool, Dr. Monika Mehra
Keywords
Related Articles
- EP ID EP746916
- DOI 10.55524/ijircst.2022.10.1.5
- Views 29
- Downloads 0
Stock Price Prediction Using Python in Machine Learning
The process of anticipating the stock market is one that is both difficult and time-consuming. On the other hand, advancements in stock market projection have begun to incorporate these methods of evaluating stock market...
A Technical Review on IoT Based Mining Tracking and Safety Helmet
In the mining field IOT has a great importance with varying applications drawing attention to its construction. To the contrary side the main objective of this research is to design smart helmet system for mining industr...
Real Estate Price Prediction
Analysing various fields, associate numbers, events became the need of time and most important step to do anything and hence data science became an important part in every field. Using the concept of data science, the pr...
A System for Surveying Railway Track Geometry Using Multi-sensor
In the proposed system the monitoring of the railway tracks is proposed which can reduce the human labor. By this system the cracks in the railway tracks are detected and also the condition of the track is monitored with...
IoT Based Smart Alert Network Security System Using Machine Learning
The increasing security threats in public places such as airports, train stations, and shopping malls require the development of smart security systems that can detect potential threats and provide timely alerts to secur...