Machine Learning Methods for Herschel–Bulkley Fluids in Annulus: Pressure Drop Predictions and Algorithm Performance Evaluation

System identification and a model-based control strategy of motor driven system with high order flexible manipulator

(2019) Youshuang Ding et al.   Industrial Robot-The International Journal of Robotics Research and Application

Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data: A Review and Case Study

(2019) Fernando Castaño et al.   Remote Sensing

The fuzzy Kalman filter: Improving its implementation by reformulating uncertainty representation

(2019) Fernando Matía et al.   FUZZY SETS AND SYSTEMS

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Automatic selection of optimal parameters based on simple soft computing methods. A case study on micro-milling processes

(2018) Ivan La Fe et al.   IEEE Transactions on Industrial Informatics

Soft Sensing of Non-Newtonian Fluid Flow in Open Venturi Channel Using an Array of Ultrasonic Level Sensors—AI Models and Their Validations

(2017) Khim Chhantyal et al.   SENSORS

Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System

(2017) et al.   SENSORS

Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel–Bulkley drilling fluids in oil drilling

(2016) Reza Rooki   MEASUREMENT

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Frictional pressure loss of drilling fluids in a fully eccentric annulus

(2015) Oney Erge et al.   Journal of Natural Gas Science and Engineering

Determination of drilling fluid rheology under downhole conditions by using real-time distributed pressure data

(2015) Ali Karimi Vajargah et al.   Journal of Natural Gas Science and Engineering

Estimation of Pressure Loss of Herschel–Bulkley Drilling Fluids During Horizontal Annulus Using Artificial Neural Network

(2014) Reza Rooki   JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY

A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization

(2013) Gaige Wang et al.   Journal of Applied Mathematics

Experimental study and predictions of pressure losses of fluids modeled as Herschel–Bulkley in concentric and eccentric annuli in laminar, transitional and turbulent flows

(2011) Vassilios C. Kelessidis et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Fault diagnosis of ball bearings using machine learning methods

(2010) P.K. Kankar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modeling and Experimental Study of Newtonian Fluid Flow in Annulus

(2010) Mehmet Sorgun et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Laminar, transitional and turbulent flow of Herschel-Bulkley fluids in concentric annulus

(2008) K. Founargiotakis et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING