DEVELOPMENT OF CALCULATION ALGORITHM OF THE PROBABILITY SAFETY INDEX OF THE TECHNICAL SYSTEM "PROTECTION - OBJECT - ENVIRONMENT"

2017 ◽  
pp. 75-89 ◽  
Author(s):  
Y. V. Esipov ◽  
◽  
M .S. Dzhilyadzhi ◽  
N .S. Mamatchenko ◽  
◽  
...  
Keyword(s):  
Technical System ◽  
Safety Index ◽  
Calculation Algorithm ◽  
System Protection

Four Girls Mountains Savage Peak Climbing Theme Attractions Design

2013 ◽  
Vol 440 ◽  
pp. 387-391
Author(s):  
Jian Ping Shu ◽  
Shi Ping Fu ◽  
Xiao Yuan Wen
Keyword(s):  
Rock Climbing ◽  
Security System ◽  
Technical System ◽  
Mountain Area ◽  
Camp Content ◽  
Tourist Attractions ◽  
System Protection ◽  
Mountain Rescue ◽  
Medium Level ◽  
Area Limit

By the fieldwork method, describe the basic situation of the four girls mountains one peak, explores the savage peak climbing area construction. Results indicate that four girls mountains peaks of geographical conditions suitable for construction in rock climbing as the theme of tourist attractions, Can plan set low, medium level of rock climbing experience area, limit climbing, blundering area, Big rock point of the downhill, camp, viewing deck and tourists rest camps, etc. The camp content is rich and concentrated, With perfect scenic area security system protection as support, Can be used as the rock theme attractions of four maiden's mountain area, At the same time to enhance mountain guide, mountain rescue, mountain co-ordinator and other technical system to cultivate ideal training base.

Abstract #300 Evaluation of the Accuracy of an Implantable CGM System with an Updated Glucose Calculation Algorithm

2019 ◽  
Vol 25 ◽  
pp. 125
Author(s):  
Mark Christiansen ◽  
Timothy Bailey ◽  
Leslie Klaff ◽  
Ron Brazg ◽  
Anna Chang ◽  
...  
Keyword(s):  
Calculation Algorithm

Developments in Power-System Protection

IEE Review ◽  
1989 ◽  
Vol 35 (6) ◽  
pp. 220
Author(s):  
J.H. Naylor
Keyword(s):  
Power System ◽  
Power System Protection ◽  
System Protection

Functional and operational risk as a criterion for assessing the durability of an autonomous energy system

2019 ◽  
Vol 12 (1) ◽  
pp. 56-62 ◽  
Author(s):  
A. O. Nedosekin ◽  
A. V. Smirnov ◽  
D. P. Makarenko ◽  
Z. I. Abdoulaeva
Keyword(s):  
Service Life ◽  
Structural Reliability ◽  
Residual Life ◽  
Fuzzy Random Variable ◽  
Operational Risk ◽  
Energy System ◽  
Technical System ◽  
Residual Service Life ◽  
Technological Parameters ◽  
Residual Service

The article presents new models and methods for estimating the residual service life of an autonomous energy system, using the functional operational risk criterion (FOR). The purpose of the article is to demonstrate a new method of durability evaluation using the fuzzy logic and soft computing framework. Durability in the article is understood as a complex property directly adjacent to the complex property of system resilience, as understood in the Western practice of assessing and ensuring the reliability of technical systems. Due to the lack of reliable homogeneous statistics on system equipment failures and recoveries, triangular fuzzy estimates of failure and recovery intensities are used as fuzzy functions of time based on incomplete data and expert estimates. The FOR in the model is the possibility for the system availability ratio to be below the standard level. An example of the evaluation of the FOR and the residual service life of a redundant cold supply system of a special facility is considered. The transition from the paradigm of structural reliability to the paradigm of functional reliability based on the continuous degradation of the technological parameters of an autonomous energy system is considered. In this case, the FOR can no longer be evaluated by the criterion of a sudden failure, nor is it possible to build a Markov’s chain on discrete states of the technical system. Assuming this, it is appropriate to predict the defi ning functional parameters of a technical system as fuzzy functions of a general form and to estimate the residual service life of the technical system as a fuzzy random variable. Then the FOR is estimated as the possibility for the residual life of the technical system to be below its warranty period, as determined by the supplier of the equipment.

Methodology of Calculation the Terminal Settling Velocity Distribution of Irregular Particles for High Values of the Reynold’s Number/Metodologia Wyliczania Rozkładu Granicznej Prędkości Opadania Ziaren Nieregularnych Dla Wysokich Wartości Liczb Reynoldsa

2014 ◽  
Vol 59 (2) ◽  
pp. 553-562 ◽  
Author(s):  
Agnieszka Surowiak ◽  
Marian Brożek
Keyword(s):  
Velocity Distribution ◽  
Settling Velocity ◽  
Random Variables ◽  
Independent Random Variables ◽  
Calculation Algorithm ◽  
Shape Coefficient ◽  
Geometrical Properties ◽  
Size And Shape ◽  
Physical Density ◽  
Settling Velocity Distribution

Abstract Settling velocity of particles, which is the main parameter of jig separation, is affected by physical (density) and the geometrical properties (size and shape) of particles. The authors worked out a calculation algorithm of particles settling velocity distribution for irregular particles assuming that the density of particles, their size and shape constitute independent random variables of fixed distributions. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity irregular particles for the turbulent motion. The distributions of settling velocity of irregular particles were calculated utilizing industrial sample. The measurements were executed and the histograms of distributions of volume and dynamic shape coefficient, were drawn. The separation accuracy was measured by the change of process imperfection of irregular particles in relation to spherical ones, resulting from the distribution of particles settling velocity.

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