Results 31 to 40 of about 33,426 (207)

First order plus frequency dependent delay modeling : new perspective or mathematical curiosity? [PDF]

open access: yes, 2019
The first-order-plus-dead-time model (FOPDT) is a popular simplified representation of higher order dynamics. However, a well known drawback is the rapid decrease of the frequency response accuracy with increasing process order.
Chevalier, Amélie   +4 more
core   +1 more source

Data-Driven Machine Learning for Fault Detection and Diagnosis in Nuclear Power Plants: A Review

open access: yesFrontiers in Energy Research, 2021
Data-driven machine learning (DDML) methods for the fault diagnosis and detection (FDD) in the nuclear power plant (NPP) are of emerging interest in the recent years.
Guang Hu, Taotao Zhou, Qianfeng Liu
doaj   +1 more source

OMA analysis of a launcher under operational conditions with time-varying properties [PDF]

open access: yes, 2018
The objective of the paper is the investigation of the capability of Operational Modal Analysis approaches to deal with time-varying system in the low-frequency domain.
Coppotelli, Giuliano   +5 more
core   +1 more source

Network reconfiguration and operation optimisation of distribution system with flexible DC device

open access: yesThe Journal of Engineering, 2019
In this study, a comprehensive reconfiguration and operation optimisation of distribution system with flexible DC device (FDD) is discussed. The structures of distribution network with FDD are illustrated and the exact operating of FDD set-points are ...
Yanhong Yang   +4 more
doaj   +1 more source

Climate-driven regime shifts in a mangrove-salt marsh ecotone over the past 250 years. [PDF]

open access: yes, 2019
Climate change is driving the tropicalization of temperate ecosystems by shifting the range edges of numerous species poleward. Over the past few decades, mangroves have rapidly displaced salt marshes near multiple poleward mangrove range limits ...
Cavanaugh, Kyle C   +7 more
core   +1 more source

Development and Validation of a Data-Driven Fault Detection and Diagnosis System for Chillers Using Machine Learning Algorithms

open access: yesEnergies, 2021
Fault detection and diagnosis (FDD) systems enable high cost savings and energy savings that could have economic and environmental impact. This study aims to develop and validate a data-driven FDD system for a chiller.
Icksung Kim, Woohyun Kim
doaj   +1 more source

The mid-infrared diameter of W Hydrae

open access: yes, 2011
Mid-infrared (8-13 microns) interferometric data of W Hya were obtained with MIDI/VLTI between April 2007 and September 2009, covering nearly three pulsation cycles. The spectrally dispersed visibility data of all 75 observations were analyzed by fitting
A. Quirrenbach   +85 more
core   +1 more source

Consumo de fibra dietaria, por día, en niños con estreñimiento funcional y síndrome de intestino irritable

open access: yesEntramado, 2019
Los principales desórdenes gastrointestinales funcionales (DGF) pediátricos son estreñimiento funcional (EF) y síndrome de intestino irritable (SII). Se recomienda en niños, la edad más 5 gramos de fibra dietaria diaria (FDD).
Ingrith Viviana Hoyos-García   +1 more
doaj   +1 more source

Advances in Fault Detection and Diagnosis for Thermal Power Plants: A Review of Intelligent Techniques

open access: yesMathematics, 2023
Thermal power plants (TPPs) are critical to supplying energy to society, and ensuring their safe and efficient operation is a top priority. To minimize maintenance shutdowns and costs, modern TPPs have adopted advanced fault detection and diagnosis (FDD)
Salman Khalid   +3 more
doaj   +1 more source

Fault Detection and Diagnosis in Multi-Robot Systems: A Survey

open access: yesSensors, 2019
The use of robots has increased significantly in the recent years; rapidly expending to numerous applications. These sophisticated machines are susceptible to different types of faults that might endanger the robot or its surroundings.
Eliahu Khalastchi, Meir Kalech
doaj   +1 more source

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