An Efficient Lossless Telemetry Data Compression and Fault Analysis System Using 2SMLZ and CMOW-DLNN

2021 ◽  
Author(s):  
Parameshwaran Ramalingam ◽  
R. Thanuja ◽  
R. Bhavani ◽  
Lakshminarayanan Gopalakrishnan
Keyword(s):  
Data Compression ◽  
Fault Analysis ◽  
Telemetry Data ◽  
Analysis System

scholarly journals Fault Analysis System for Agricultural Machinery Based on Big Data

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 99136-99151 ◽  
Author(s):  
Dan Li ◽  
Yi Zheng ◽  
Wei Zhao
Keyword(s):  
Big Data ◽  
Fault Analysis ◽  
Agricultural Machinery ◽  
Analysis System

Research on Elimination of Electric Power System Fault Based on Electrical Engineering Automatic Control Technology

2014 ◽  
Vol 898 ◽  
pp. 771-774
Author(s):  
Sheng Yi Ran ◽  
Yu Shu Xiong
Keyword(s):  
Power System ◽  
Automatic Control ◽  
Detection System ◽  
Electrical Engineering ◽  
Computer Software ◽  
Fault Analysis ◽  
Electric Power System ◽  
Displacement Curve ◽  
Spectrum Distribution ◽  
Analysis System

In this paper we introduce the computer software fault analysis system to the power fault detection system, and design power fault elimination system of electrical engineering automatic control, and do simulation and experimental study on the performance. When using the turbine blade of electric machinery to detect fault, we can get the automated troubleshooting displacement curve, and using computer simulation to get the electric mechanical stress distribution nephogram. To further verify the effectiveness of the algorithm, we test the frequencies for eight different units, and obtain eight different sets of five order fault diagnosis frequency, and draw the frequency spectrum distribution of frequency response. It provides the theory reference for the automation of power system fault exclusion.

scholarly journals Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Parameshwaran Ramalingam ◽  
Abolfazl Mehbodniya ◽  
Julian L. Webber ◽  
Mohammad Shabaz ◽  
Lakshminarayanan Gopalakrishnan
Keyword(s):  
Data Compression ◽  
Research Work ◽  
High Compression Ratio ◽  
Telemetry Data ◽  
Compression Time ◽  
Short Processing Time ◽  
Final Output ◽  
Lossless Data Compression ◽  
Association Data ◽  
Probability Measurement

Telemetric information is great in size, requiring extra room and transmission time. There is a significant obstruction of storing or sending telemetric information. Lossless data compression (LDC) algorithms have evolved to process telemetric data effectively and efficiently with a high compression ratio and a short processing time. Telemetric information can be packed to control the extra room and association data transmission. In spite of the fact that different examinations on the pressure of telemetric information have been conducted, the idea of telemetric information makes pressure incredibly troublesome. The purpose of this study is to offer a subsampled and balanced recurrent neural lossless data compression (SB-RNLDC) approach for increasing the compression rate while decreasing the compression time. This is accomplished through the development of two models: one for subsampled averaged telemetry data preprocessing and another for BRN-LDC. Subsampling and averaging are conducted at the preprocessing stage using an adjustable sampling factor. A balanced compression interval (BCI) is used to encode the data depending on the probability measurement during the LDC stage. The aim of this research work is to compare differential compression techniques directly. The final output demonstrates that the balancing-based LDC can reduce compression time and finally improve dependability. The final experimental results show that the model proposed can enhance the computing capabilities in data compression compared to the existing methodologies.

Telemetry Data Acquisition and Analysis in Integrated Baseband System Based on TCP/IP Protocol

2012 ◽  
Vol 195-196 ◽  
pp. 1175-1179
Author(s):  
Tao Zhang ◽  
Yong Sheng Gui
Keyword(s):  
Data Acquisition ◽  
Fault Analysis ◽  
Telemetry Data ◽  
Paper Briefly ◽  
Ground Station ◽  
And Storage

This paper briefly introduced the integrated Command Ranging & Telemetry (CRT) baseband system of a satellite TT&C ground station, and a software was developed with C++ Builder 6.0 to acquire and store the important telemetry data. It effectively resolved the problems of data acquisition and storage for important parameters from baseband system, and it was applied to fault analysis and diagnosis of satellite signals.

Design and Realization of Control Module Fault Analysis System Based on Fault Tree

2013 ◽  
Vol 333-335 ◽  
pp. 1762-1766
Author(s):  
Jin Hui Hu ◽  
Da Bin Hu ◽  
Qi Wei He
Keyword(s):  
Control System ◽  
Fault Location ◽  
Fault Tree ◽  
Fault Analysis ◽  
Practical Application ◽  
Analysis Software ◽  
Control Module ◽  
Qualitative And Quantitative ◽  
Engine Control System ◽  
Analysis System

In the process of equipment support for diesel engine control system of a certain type of ship, aiming at the problem of fault location of circuit module is complex and low efficient, the circuit module fault tree of control system is established based on fault tree theory. Qualitative and quantitative fault analysis is processed. The control module fault analysis software is researched and developed. The practical application shows that the functional fault control module can be analyzed and diagnosed fast and accurately. And the control module fault can be accurately positioned and processed.

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