Inicio  /  Infrastructures  /  Vol: 2 Núm: 4 Par: 0 (2017)  /  Artículo
ARTÍCULO
TITULO

Integrated Big Data Analytics Technique for Real-Time Prognostics, Fault Detection and Identification for Complex Systems

Chinedu I. Ossai    

Resumen

Real-time prediction of the state of complex systems is vital for integrity management since it is easier to plan for asset maintenance, reduce risks associated with unplanned downtime and reduce the cost of maintenance. This study utilized a four-fold cross-validation ensemble for an Artificial Neural Network (ANN) that used Multi-Layer Perceptron (MLP) in a backward propagation technique for haul crane prognosis. Big data on components? degradation states obtained from the Supervisory Control And Data Acquisition (SCADA) systems were used to implement the study. After preprocessing the dataset, importance scoring was used to compute the Cumulative Target-component Percentage-influence (CTP) of the input variables (source components) on the output variable (the target component) at the 95.5%, 99.3%, 99.9% and 100% levels. The specific source components responsible for the CTP levels of the target component were later used for the ANN network training that followed the cross-validation ensemble technique. The cross-validation ensemble ANN technique was also compared to the classic ANN and other machining learning algorithms. Finally, the best-trained cross-validation ensemble ANN network, which was obtained at the 99.9% CTP level, was used for future estimation of the time of failure of the system to enhance planning for the expected maintenance program that will be required at such times.

 Artículos similares

       
 
Abdelrahman Khalifa, Bashar Bashir, Abdullah Alsalman, Sambit Prasanajit Naik and Rosa Nappi    
Evaluating and predicting the occurrence and spatial remarks of climate and rainfall-related destructive hazards is a big challenge. Periodically, Sinai Peninsula is suffering from natural risks that enthuse researchers to provide the area more attention... ver más
Revista: Water

 
Jiaomin Wei, Yanyan Chen, Zhuo Liu, Yang Wang     Pág. 131 - 161
The influence of the built environment on dockless bike-sharing (DBS) trips connecting to urban metro stations has always been a significant problem for planners. However, the evidence for correlations between microscale built-environment factors and DBS... ver más

 
Isam Mashhour Al Jawarneh, Luca Foschini and Paolo Bellavista    
Numerous real-life smart city application scenarios require joint analytics on unified views of georeferenced mobility data with environment contextual data including pollution and meteorological data. particularly, future urban planning requires restric... ver más
Revista: Future Internet

 
Zhenlong Zhang, Xiaoping Yu, Yanzhen Hou, Tianhao Chen, Yun Lu and Honghu Sun    
The concept of green and low-carbon development is integrated into territorial spatial planning and district control research. It is one of the systematic policy tools for emission reduction and carbon sequestration, greatly contributing to achieving the... ver más

 
Ki-Nam Kim, Tae-Hoon Kim and Min-Jae Lee    
Although there have been many studies related to construction site safety that have tried to reduce accidents, no significant improvement has been reported. Because of the complex nature of construction work processes, it is important to have a scenario-... ver más
Revista: Buildings