Short-Time Analysis of Combustion Engine Vibroacoustic Signals through Pattern Recognition Techniques

2005 ◽  
Author(s):  
Piotr Boguś ◽  
Jerzy Merkisz
Keyword(s):  
Pattern Recognition ◽  
Combustion Engine ◽  
Time Analysis ◽  
Pattern Recognition Techniques ◽  
Short Time ◽  
Vibroacoustic Signals

scholarly journals Analysis of vibration signals using short-time analysis and clustering in parameter space for detection of combustion engine state

2019 ◽  
Vol 177 (2) ◽  
pp. 83-87
Author(s):  
Piotr BOGUŚ ◽  
Jerzy MERKISZ
Keyword(s):  
Parameter Space ◽  
Time Window ◽  
Combustion Engine ◽  
Vibration Signal ◽  
Time Analysis ◽  
Statistical Parameters ◽  
Vibration Signals ◽  
Before And After ◽  
Vibration Signal Analysis ◽  
Short Time

The paper presents a short-time analysis of the vibration signals for the diagnosis of Diesel engine of combustion locomotive by recognition of different engine states using the clustering technique. The main aim of the researches was to distinguish between different engine states represent different wear extends. The proposed method of vibration signal analysis consists on sliding a time window along signal in time and observing the changes of some given statistical parameters. The set of this parameter values creates a multidimen-sional parameter space where the time evolution can be observed. For recognition and detection of different engine system states some clustering techniques in the parameter space were performed. The results show the possibility of distinguishing different cluster centers within the parameter space which can be assigning to different engine states represented the states before and after a general repair.

EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques A Review

2019 ◽  
Vol 7 (1) ◽  
pp. 615-618
Author(s):  
Y. M. Rajput ◽  
S. Abdul Hannan ◽  
M. Eid Alzahrani ◽  
Ramesh R. Manza ◽  
Dnyaneshwari D. Patil
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Emotion Recognition ◽  
Pattern Recognition Techniques

Gravity Models in International Trade: An Exploration in Econo-Physics

2021 ◽  
pp. 227797872198992
Author(s):  
Iman Pal ◽  
Saibal Kar
Keyword(s):  
Pattern Recognition ◽  
International Trade ◽  
Present Article ◽  
Gravity Models ◽  
Scientific Applications ◽  
Physical Sciences ◽  
Trade Patterns ◽  
Pattern Recognition Techniques ◽  
The Subject ◽  
Jel Classifications

Several strands of the static and dynamic theoretical constructs and the empirical applications in the subject of economics owe substantially to the well-known principles of physical sciences. The present article explores as to how the development of the popular gravity models in international trade can be traced back to Newton’s law of gravitation, and to both Ohm’s Law and Kirchhoff’s Law of current electricity, as well as to the pattern recognition techniques commonly deployed in scientific applications. In addition to surveying these theoretical analogies, the article also offers numerical applications for observed trade patterns between India and a set of countries. JEL Classifications: F41, F42, C61, F47

Nonlinear Analysis of Combustion Engine Vibroacoustic Signals for Misfire Detection

2003 ◽  
Author(s):  
Piotr Boguś ◽  
Jerzy Merkisz ◽  
Rafał Grzeszczyk ◽  
Stanisław Mazurek
Keyword(s):  
Nonlinear Analysis ◽  
Combustion Engine ◽  
Misfire Detection ◽  
Vibroacoustic Signals
Sign in / Sign up

Export Citation Format

Share Document