Itaipu Hydroelectric Power Plant Structural Geotechnical Instrumentation Temporal Data Under the Application of Multivariate Analysis – Grouping and Ranking Techniques

doi 10.5772/53838
Full Text
Abstract

Available in full text

Date
Authors
Publisher

InTech

Related search

Application of Data Mining Techniques for Sensor Drift Analysis to Optimize Nuclear Power Plant Performance

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Ranking Large Temporal Data

Proceedings of the VLDB Endowment
Computer Science
2012English

PVUSA Instrumentation and Data Analysis Techniques for Photovoltaic Systems

1995English

Analysis of the Technological Innovations Acquisition: A Comparative Case Study Between a Hydroelectric Power Plant and a Thermoelectric Plant

Revista Gestão da Produção Operações e Sistemas
2017English

The Application of Multivariate Analysis of Variance (MANOVA) to Evaluate Plant Metabolomic Data From Factorially Designed Experiments

Metabolomics
BiochemistryEndocrinologyClinical BiochemistryMetabolismDiabetes
2005English

Subcritical Organic Ranking Cycle Based Geothermal Power Plant Thermodynamic and Economic Analysis

Thermal Science
Renewable Energythe EnvironmentSustainability
2018English

New Data on Species of Demidospermus (Dactylogyridae: Monogenea) Parasitizing Fishes From the Reservoir of the Itaipu Hydroelectric Power Station, Parana State, Brazil, With New Synonymies

Revista Brasileira de Parasitologia Veterinária
2008English

Application of Soft Computing Techniques in WWER Nuclear Power Plant Safety

Nuclear Energy and Technology
2019English

Site Analysis and Field Instrumentation for an Apartment Application of a Total Energy Plant

1975English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy