The Monitoring and Fault Diagnosis System for Controllable Pitch Propeller Based on LabVIEW

Bing Kuan Yin; Hai Gang Hu; Xin Zhou; Lin Wei Zhang

doi:10.4028/www.scientific.net/AMM.635-637.851

Paper Titles

Ground-Based Videometric Method and System for the Real-Time Measurement of Aircraft Landing Track
p.824

Measurement of Geometric Parameters for Cutting Tools Based on MATLAB
p.832

Monitoring Growth Characters and Yield with Hyperspectral Remote Sensing in Wheat
p.838

The Application and Research of Order Analysis in Gearbox Fault Diagnosis
p.844

The Monitoring and Fault Diagnosis System for Controllable Pitch Propeller Based on LabVIEW
p.851

A Novel In-Line Fiber Mach–Zehnder Interferometer Temperature Sensor Made of Thermally Expanded Core Fiber
p.856

A Study on Data Communication Method for Building Detection Based on Wireless Sensor Network
p.860

Analysis and Processing of Sampled Measurement Values Transmission Delay for Smart Substations Processing Layer
p.865

Assembly Quality Detection Software for Combine Harvester Based on Vibration Spectra Analysis
p.870

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637The Monitoring and Fault Diagnosis System for...

The Monitoring and Fault Diagnosis System for Controllable Pitch Propeller Based on LabVIEW

Abstract:

The monitoring and fault diagnosis system for controllable pitch propeller is based on modern testing technology, fieldbus technology, monitoring and diagnosis technology, computer technology. The equipment consists of various types of sensors, CANopen bus devices, LabVIEW and computer, which can monitor the CPP’s operating parameters, including shaft system vibration, shaft speed, pitch angle, liquid level of gravity tank, pressure and temperature of hydraulic system, and the system can also alarm if three typical fault of shafting occurs.

You might also be interested in these eBooks

Advanced Design and Manufacturing Technology IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

851-855

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.851

Citation:

Cite this paper

Online since:

September 2014

Authors:

Bing Kuan Yin, Hai Gang Hu*, Xin Zhou, Lin Wei Zhang

Keywords:

CAN Bus, CPP, Fault Diagnosis, LabVIEW

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Shouguang Yao, Min Xiao: Marine power plant[M], National defence of Industry Press, Beijing, 2006. (In Chinese).

Google Scholar

[2] Yong Chang, Yihuai Hu and Shanneng Chen: Chinese Shipbuilding Industry, 2009, 50(2): 46-54. (In Chinese).

Google Scholar

[3] Bo Zhang, Hengwu Cui, Zhixin Jiang and Yanfei Li: Mechanical and Electrical Engineering Technology, 2011, 40(09): 60-62. (In Chinese).

Google Scholar

[4] Zhaoyu Meng: A ship propeller state monitoring technology[D], Shanghai Maritime University, Shanghai, 2005. (In Chinese).

Google Scholar

[5] Haigang Hu, Minghe Zhu, Wencai Zhu and Honglei Pang: Modern Scientific Instruments, 2010(6): 44-47. (In Chinese).

Google Scholar

[6] Fco. Sergio Sellschopp S., Marco A. Arjona L: IEEE, 2001, 845-852.

Google Scholar

[7] Olli Aumala: Measurement, 1996, 19(1): 41-48.

Google Scholar

[8] Ligong Zhou, Xiaoqing Huang: Design and Application of CANopen fieldbus[M], Beijing University of Aeronautics and Astronautics Press, Beijing, 2011. (In Chinese).

Google Scholar

[9] Feng Shi, Xiaochuan Wang: 30 cases of MATLAB neural network analysis[M], Beijing University of Aeronautics and Astronautics Press, Beijing, 2010. (In Chinese).

Google Scholar