| viXra.org > Digital Signal Processing > 2005 |
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| viXra.org > Digital Signal Processing > 2005 |
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[3] viXra:2005.0126 [pdf] submitted on 2020-05-10 19:32:55
Authors: Andrei Keino
Comments: 7 Pages.
The article presents problems related to vibration
diagnostics in reciprocating compressors. This paper presents
the evaluation of several techniques of the digital signal processing,
such as the spectrum calculation with the Discrete Fourier
Transform (DFT), Continuous Wavelet Transform (CWT), Segmented
Analysis for detection the spring failure in reciprocating
compressor valve with the help of the vibration monitoring. The
experimental investigation to collect the data from the compressor
with both the faultless valve and the valve with spring
failure was conducted. Three 112DV1 vibration acceleration
probes manufactured by TIK were mounted on the cylinder
of the compressor. The keyphasor probe was mounted on the
compressor’s flywheel. The signal of the vibration acceleration
probe mounted on the top of the cylinder was used for the
Condition Monitoring and Fault Detection of the valve. The
TIK-RVM system of monitoring and data acquisition was used
for gathering the signal samples from the probes. The sampling
frequency was 30193.5 Hz, signal length was 65535 samples. To
imitate the spring fault, the exhaust valve spring was replaced by
the shortened one with the same stiffness. As it can be seen from
the signal processing results in the article, the techniques used
are showing quite different results for the cases of the normal
valve spring and the short one. It seems what for this type of
the compressor and valve, the valve spring failure can be quite
reliably detected with the help of the vibration monitoring. To
see if this is a case for other compressor types and other valve
types, the additional experiments are needed.
Category: Digital Signal Processing
[2] viXra:2005.0089 [pdf] submitted on 2020-05-07 04:13:58
Authors: Jixiang Deng, Yong Deng
Comments: 14 Pages.
Because of the good performance of handling uncertainty, Dempster-Shafer evidence theory (evidence theory) has been widely used. Recently, a novel entropy, named as Deng entropy, is proposed in evidence theory, which is a generalization of Shannon entropy. Deng entropy and the maximum Deng entropy have been applied in many fields due to their efficiency and reliability of measuring uncertainty. However, the maximum Deng entropy lacks a proper explanation in physics, which limits its further application. Thus, in this paper, with respect to thermodynamics and Shannon's source coding theorem, the theoretical average encoding length for micro-states in Boltzmann system based on Deng entropy is proposed, which is a possible physical interpretation of the maximum Deng entropy.
Category: Digital Signal Processing
[1] viXra:2005.0017 [pdf] submitted on 2020-05-01 15:13:50
Authors: Haseeb Farooq
Comments: 4 Pages.
The Internet of Things (IoT) is the notion of converting everyday objects into smart objects. The purpose of this is to connect the rigid objects we use in our everyday lives to one another to create smart homes, smart cities and smart environments. Objects such as clocks, thermostats, speakers and almost every other electrical object are being equipped with the ability to connect to the internet. This in turn converts the object into a smart object which becomes a part of the internet of things family.
Category: Digital Signal Processing
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