Inhomogeneous CTMC Birth-and-Death Models Solved by Uniformization with Steady-State Detection

2020 ◽  
Vol 30 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Maciej Rafal Burak ◽  
Przemyslaw Korytkowski
Keyword(s):  
Steady State ◽  
State Detection

Steady State Detection in Industrial Gas Turbines for Condition Monitoring and Diagnostics Applications

2014 ◽  
Author(s):  
Cesar Celis ◽  
Érica Xavier ◽  
Tairo Teixeira ◽  
Gustavo R. S. Pinto
Keyword(s):  
Steady State ◽  
Condition Monitoring ◽  
Gas Turbines ◽  
Signal Analysis ◽  
Operating Regime ◽  
State Detection ◽  
Industrial Gas Turbines ◽  
Monitoring And Diagnostics ◽  
Operating Regimes

This work describes the development and implementation of a signal analysis module which allows the reliable detection of operating regimes in industrial gas turbines. Its use is intended for steady state-based condition monitoring and diagnostics systems. This type of systems requires the determination of the operating regime of the equipment, in this particular case, of the industrial gas turbine. After a brief introduction the context in which the signal analysis module is developed is highlighted. Next the state of the art of the different methodologies used for steady state detection in equipment is summarized. A detailed description of the signal analysis module developed, including its different sub systems and the main hypotheses considered during its development, is shown to follow. Finally the main results obtained through the use of the module developed are presented and discussed. The results obtained emphasize the adequacy of this type of procedures for the determination of operating regimes in industrial gas turbines.

scholarly journals A general biochemical kinetics data fitting algorithm for quasi-steady-state detection

2016 ◽  
Vol 57 ◽  
Author(s):  
Justinas V. Daugmaudis ◽  
Audrius Laurynėnas ◽  
Juozas Kulys ◽  
Feliksas Ivanauskas
Keyword(s):  
Steady State ◽  
A Priori ◽  
Data Fitting ◽  
Quasi Steady State ◽  
Experiment Data ◽  
Biochemical Kinetics ◽  
Nitrophenyl Phosphate ◽  
Fitting Algorithm ◽  
State Detection ◽  
Phosphate Hydrolysis

We develop a general algorithm for fitting the biochemical kinetics data. The developed algorithm searches and analyzes numerous minima. This approach allows us to analyze biochemical data without a priori quasi-steady-state assumptions. The algorithm allows us to treat the biochemical kinetics data that has varying degree of steadiness. We test the approach by analyzing experiment data from 4-nitrophenyl phosphate hydrolysis with alkaline phosphatase.  

Application of steady-state detection method based on wavelet transform

2003 ◽  
Vol 27 (4) ◽  
pp. 569-578 ◽  
Author(s):  
Taiwen Jiang ◽  
Bingzhen Chen ◽  
Xiaorong He ◽  
Paul Stuart
Keyword(s):  
Wavelet Transform ◽  
Steady State ◽  
Detection Method ◽  
State Detection

scholarly journals The φ-relation and a simple method to predict how many data points are needed for relevant steady-state detection

AIChE Journal ◽  
2018 ◽  
Vol 64 (9) ◽  
pp. 3354-3359 ◽  
Author(s):  
Chris Nellis ◽  
Céline Hin ◽  
Aditya Savara
Keyword(s):  
Steady State ◽  
Simple Method ◽  
State Detection ◽  
Data Points

Evaluation of the Speed-Limited Particle-in-Cell Method Using Steady-State Detection

2018 ◽  
Author(s):  
Andrew M. Chap ◽  
Thomas G. Jenkins ◽  
John R. Cary ◽  
Peter H. Stoltz ◽  
Gregory R. Werner
Keyword(s):  
Steady State ◽  
Particle In Cell ◽  
Cell Method ◽  
State Detection
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