Paper 15: Factors in the Design of Automatic Flow Benches for Carburettor Inspection

1968 ◽  
Vol 183 (5) ◽  
pp. 34-44
Author(s):  
G. L. Lawrence ◽  
R. J. Firth
Keyword(s):  
Production Control ◽  
Emission Control ◽  
Exhaust Emission ◽  
Design And Development ◽  
Control Programmes ◽  
Basic Parameters ◽  
Development Phases ◽  
Definition Of

This paper examines the basic parameters concerned in the definition of automated flow bench equipment for the production control of carburettor metering standards—particularly as they are concerned in exhaust emission control programmes—and discusses some of the problems encountered during the design and development phases.

scholarly journals The definition of basic parameters of the set of small-sized equipment for preparation of dry mortar for various applications

2017 ◽  
Vol 116 ◽  
pp. 01004
Author(s):  
Inga Emelyanova ◽  
Vladimir Blazhko ◽  
Svetlana Dansheva ◽  
Natalia Shyshko
Keyword(s):  
Basic Parameters ◽  
Definition Of

Exhaust Emission Control of S. I. Engines by Engine Modification-The SEEC-T System

1977 ◽  
Author(s):  
Tatsuhisa Fukushima ◽  
Hiroyuki Nakamura ◽  
Tatsuo Sakai
Keyword(s):  
Emission Control ◽  
Exhaust Emission ◽  
T System

scholarly journals THEORETICAL FUNDAMENTALS OF ESTIMATABILITY ASSESSMENT OF TRAIN SITUATION SIGNS FOR WORK OF INTELLECTUAL LOCOMOTIVE CONTROL SYSTEMS

2021 ◽  
Vol 1 (38) ◽  
pp. 223-231
Author(s):  
O. Gorobсhenko
Keyword(s):  
Control Systems ◽  
Random Search ◽  
Information Value ◽  
Train Control ◽  
Relative Value ◽  
Basic Parameters ◽  
Control Decision ◽  
Definition Of

The article is devoted to the problem of implementation of intelligent control systems in transport. An important task is to assess the information parameters of the control systems. In the existing works the question of definition of one of the basic parameters of functioning of locomotive control systems - information value of separate signs of a train situation is not considered. This does not make it possible to determine the order of signal processing at the input and assess their contribution to the adoption of a control decision. Moreover, informativeness is a relative value, which is expressed in the different information value of a particular feature for the classification of different train situations. Also, the informativeness of the feature may depend on the type of decisive rules in the classification procedure. The quality of recognition of a train situation in which the locomotive crew is, depends on the quality of the features used by the classification system. The decisive criterion for the informativeness of the features in the problem of pattern recognition is the magnitude of losses from errors. To determine the range of the most informative features of train situations, the method of random search with adaptation was used. The results of the work make it possible to optimize the operation of automated and intelligent train control systems by reducing the amount of calculations and simplifying their algorithm.

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