Predictive analytics of machine failure using linear regression on KNIME platform

EAP Akhir, N Ayuni - 2021 5th International Conference on Artificial …, 2021 - dl.acm.org
The failure of machines at oil and gas platforms that will temporarily stop oil production
commonly happens. The failure may refer to the machine that has stopped working, is not …

Failure Intelligent Data Analysis Research of Last Stage Blades of Feedwater Pump Turbine in a Power Plant

W Jiawei, F Hua, W Tianjian… - 2021 3rd …, 2021 - ieeexplore.ieee.org
1Cr12Ni3Mo2VN stainless steel, due to its higher strength performance, plastic toughness
properties and cost advantages, is widely used as the final blade material for steam turbines …

CPS-based Automation Model Prediction for Inspection

T Perdpunya, A Sukpradit, O Limpaporn… - … on knowledge and …, 2021 - ieeexplore.ieee.org
Traditional maintenance is incapable for mechanical solving and equipment failures in order-
to meet production needs. The complexity of machine operation, isolating the problem, the …

Predictive maintenance of aircraft engine using deep learning technique

AP Hermawan, DS Kim, JM Lee - … International Conference on …, 2020 - ieeexplore.ieee.org
In this paper, an accurate algorithm to estimate remaining useful life of aircraft engine is
proposed. Since the aircraft engine has a low fault tolerant, meaning that a little faulty in the …

Multiclass classification for predicting Remaining Useful Life (RUL) of the turbofan engine

P Soni, MA Khan, M Zubair… - 2021 11th International …, 2021 - ieeexplore.ieee.org
For complex equipment and systems or their subsystems maintaining good health is very
important. Several approaches were tried by the researchers applied by the industry …

Predicting prior engine failure with classification algorithms and web-based IoT sensors

AF Dakhil, WM Ali… - … Emerging Technology in …, 2020 - ieeexplore.ieee.org
Machine learning classification techniques play a significant role in engine failure issues
and machinery maintenance. With the help of Internet of Things, IoT industry, connected …

IoT based Predictive Maintenance of Electrical Machines in Aircraft

SV Karthik, V Akshaya… - 2021 7th International …, 2021 - ieeexplore.ieee.org
Airways are the fast-growing mode of transportation; millions of people travel in airplanes
around the world. Airways are elevating its progress steeply, where safety is the main …

The prediction of remaining useful life (rul) in oil and gas industry using artificial neural network (ann) algorithm

MFAM Fauzi, IA Aziz… - 2019 IEEE conference on …, 2019 - ieeexplore.ieee.org
Today, modern industrial equipment is very complex as it involves sophisticated assets and
systems. Thus, machine equipment optimization and safety have become operators' main …

Machine learning and deep learning methods used in safety management of nuclear power plants: A survey

Y Shi, X Xue, Y Qu, J Xue… - … Conference on Data …, 2021 - ieeexplore.ieee.org
The nuclear power industry is currently a strategic sector in the national economy, along with
nuclear energy being considered to be an essential source of national power supply and …

Predictive Failure Analysis of Spindle Motor & Cutting Oil Condition Monitoring of Grinding Machine using Artificial Intelligence Models

A Singha, J Ali, V Khera - 2020 IEEE 17th India Council …, 2020 - ieeexplore.ieee.org
With the advent of Industry 4.0, manufacturing industries are competing to adopt intelligent
machining systems to deliver high performance in minimum possible time. Machine …