Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors

723 Views
400 Downloads
Export citation: ABNT
POTOČNIK, Primož ;SOKLIČ, Dejan ;MUŽIČ, Peter ;ABSEC, Matija ;STRMEC, Tomaž ;GOVEKAR, Edvard .
Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 55, n.7-8, p. 444-454, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/automatic-detection-of-spring-faults-during-assembly-of-reciprocating-compressors/>. Date accessed: 06 jun. 2020. 
doi:http://dx.doi.org/.
Potočnik, P., Soklič, D., Mužič, P., Absec, M., Strmec, T., & Govekar, E.
(2009).
Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors.
Strojniški vestnik - Journal of Mechanical Engineering, 55(7-8), 444-454.
doi:http://dx.doi.org/
@article{.,
	author = {Primož  Potočnik and Dejan  Soklič and Peter  Mužič and Matija  Absec and Tomaž  Strmec and Edvard  Govekar},
	title = {Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {55},
	number = {7-8},
	year = {2009},
	keywords = {compressors; assembly; springs; automated systems; error detection; },
	abstract = {Automatic condition monitoring application for the detection of spring faults during assembling of reciprocating compressors is presented in this paper. Spring faults are characterized by incorrect positioning of compressor body on the supporting springs. Consequently, compressors with such faults should be detected and eliminated from the production. The paper describes development and application of a condition monitoring (CM) system for the production line. The CM system is composed of a mechanical pneumatic system and a software for the analysis and detection of failures. The mechanical system is designed to push toward the body of the compressor and simultaneously measure the pressing force. Spring faults are characterized by an increased force, therefore force signals are used to extract features, appropriate for an automatic condition monitoring. The system was tested during regular production in the company, with additional sets of compressors with built-in spring faults. The main contribution of this paper is the development and testing of various decision strategies for the recognition of faulty compressors. Standard 3-sigma decision strategy is compared to optimized stationary decision strategy and two adaptive strategies: adaptive strategy with constant deviation and adaptive strategy with adaptive deviation. Results show that adaptive decision strategy with adaptive deviation yields the best fault recognition rate and is, therefore recommended for the application on the industrial production line.},
	issn = {0039-2480},	pages = {444-454},	doi = {},
	url = {https://www.sv-jme.eu/article/automatic-detection-of-spring-faults-during-assembly-of-reciprocating-compressors/}
}
Potočnik, P.,Soklič, D.,Mužič, P.,Absec, M.,Strmec, T.,Govekar, E.
2009 August 55. Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 55:7-8
%A Potočnik, Primož 
%A Soklič, Dejan 
%A Mužič, Peter 
%A Absec, Matija 
%A Strmec, Tomaž 
%A Govekar, Edvard 
%D 2009
%T Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors
%B 2009
%9 compressors; assembly; springs; automated systems; error detection; 
%! Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors
%K compressors; assembly; springs; automated systems; error detection; 
%X Automatic condition monitoring application for the detection of spring faults during assembling of reciprocating compressors is presented in this paper. Spring faults are characterized by incorrect positioning of compressor body on the supporting springs. Consequently, compressors with such faults should be detected and eliminated from the production. The paper describes development and application of a condition monitoring (CM) system for the production line. The CM system is composed of a mechanical pneumatic system and a software for the analysis and detection of failures. The mechanical system is designed to push toward the body of the compressor and simultaneously measure the pressing force. Spring faults are characterized by an increased force, therefore force signals are used to extract features, appropriate for an automatic condition monitoring. The system was tested during regular production in the company, with additional sets of compressors with built-in spring faults. The main contribution of this paper is the development and testing of various decision strategies for the recognition of faulty compressors. Standard 3-sigma decision strategy is compared to optimized stationary decision strategy and two adaptive strategies: adaptive strategy with constant deviation and adaptive strategy with adaptive deviation. Results show that adaptive decision strategy with adaptive deviation yields the best fault recognition rate and is, therefore recommended for the application on the industrial production line.
%U https://www.sv-jme.eu/article/automatic-detection-of-spring-faults-during-assembly-of-reciprocating-compressors/
%0 Journal Article
%R 
%& 444
%P 11
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 55
%N 7-8
%@ 0039-2480
%8 2017-08-21
%7 2017-08-21
Potočnik, Primož, Dejan  Soklič, Peter  Mužič, Matija  Absec, Tomaž  Strmec, & Edvard  Govekar.
"Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors." Strojniški vestnik - Journal of Mechanical Engineering [Online], 55.7-8 (2009): 444-454. Web.  06 Jun. 2020
TY  - JOUR
AU  - Potočnik, Primož 
AU  - Soklič, Dejan 
AU  - Mužič, Peter 
AU  - Absec, Matija 
AU  - Strmec, Tomaž 
AU  - Govekar, Edvard 
PY  - 2009
TI  - Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - compressors; assembly; springs; automated systems; error detection; 
N2  - Automatic condition monitoring application for the detection of spring faults during assembling of reciprocating compressors is presented in this paper. Spring faults are characterized by incorrect positioning of compressor body on the supporting springs. Consequently, compressors with such faults should be detected and eliminated from the production. The paper describes development and application of a condition monitoring (CM) system for the production line. The CM system is composed of a mechanical pneumatic system and a software for the analysis and detection of failures. The mechanical system is designed to push toward the body of the compressor and simultaneously measure the pressing force. Spring faults are characterized by an increased force, therefore force signals are used to extract features, appropriate for an automatic condition monitoring. The system was tested during regular production in the company, with additional sets of compressors with built-in spring faults. The main contribution of this paper is the development and testing of various decision strategies for the recognition of faulty compressors. Standard 3-sigma decision strategy is compared to optimized stationary decision strategy and two adaptive strategies: adaptive strategy with constant deviation and adaptive strategy with adaptive deviation. Results show that adaptive decision strategy with adaptive deviation yields the best fault recognition rate and is, therefore recommended for the application on the industrial production line.
UR  - https://www.sv-jme.eu/article/automatic-detection-of-spring-faults-during-assembly-of-reciprocating-compressors/
@article{{}{.},
	author = {Potočnik, P., Soklič, D., Mužič, P., Absec, M., Strmec, T., Govekar, E.},
	title = {Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {55},
	number = {7-8},
	year = {2009},
	doi = {},
	url = {https://www.sv-jme.eu/article/automatic-detection-of-spring-faults-during-assembly-of-reciprocating-compressors/}
}
TY  - JOUR
AU  - Potočnik, Primož 
AU  - Soklič, Dejan 
AU  - Mužič, Peter 
AU  - Absec, Matija 
AU  - Strmec, Tomaž 
AU  - Govekar, Edvard 
PY  - 2017/08/21
TI  - Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 55, No 7-8 (2009): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - compressors, assembly, springs, automated systems, error detection, 
N2  - Automatic condition monitoring application for the detection of spring faults during assembling of reciprocating compressors is presented in this paper. Spring faults are characterized by incorrect positioning of compressor body on the supporting springs. Consequently, compressors with such faults should be detected and eliminated from the production. The paper describes development and application of a condition monitoring (CM) system for the production line. The CM system is composed of a mechanical pneumatic system and a software for the analysis and detection of failures. The mechanical system is designed to push toward the body of the compressor and simultaneously measure the pressing force. Spring faults are characterized by an increased force, therefore force signals are used to extract features, appropriate for an automatic condition monitoring. The system was tested during regular production in the company, with additional sets of compressors with built-in spring faults. The main contribution of this paper is the development and testing of various decision strategies for the recognition of faulty compressors. Standard 3-sigma decision strategy is compared to optimized stationary decision strategy and two adaptive strategies: adaptive strategy with constant deviation and adaptive strategy with adaptive deviation. Results show that adaptive decision strategy with adaptive deviation yields the best fault recognition rate and is, therefore recommended for the application on the industrial production line.
UR  - https://www.sv-jme.eu/article/automatic-detection-of-spring-faults-during-assembly-of-reciprocating-compressors/
Potočnik, Primož, Soklič, Dejan, Mužič, Peter, Absec, Matija, Strmec, Tomaž, AND Govekar, Edvard.
"Automatic Detection of Spring Faults During Assembly of Reciprocating Compressors" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 55 Number 7-8 (21 August 2017)

Authors

Affiliations

  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia
  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia
  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia
  • Danfoss Compressors, d.o.o., Slovenia
  • Danfoss Compressors, d.o.o., Slovenia
  • Danfoss Compressors, d.o.o., Slovenia

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 55(2009)7-8, 444-454

Automatic condition monitoring application for the detection of spring faults during assembling of reciprocating compressors is presented in this paper. Spring faults are characterized by incorrect positioning of compressor body on the supporting springs. Consequently, compressors with such faults should be detected and eliminated from the production. The paper describes development and application of a condition monitoring (CM) system for the production line. The CM system is composed of a mechanical pneumatic system and a software for the analysis and detection of failures. The mechanical system is designed to push toward the body of the compressor and simultaneously measure the pressing force. Spring faults are characterized by an increased force, therefore force signals are used to extract features, appropriate for an automatic condition monitoring. The system was tested during regular production in the company, with additional sets of compressors with built-in spring faults. The main contribution of this paper is the development and testing of various decision strategies for the recognition of faulty compressors. Standard 3-sigma decision strategy is compared to optimized stationary decision strategy and two adaptive strategies: adaptive strategy with constant deviation and adaptive strategy with adaptive deviation. Results show that adaptive decision strategy with adaptive deviation yields the best fault recognition rate and is, therefore recommended for the application on the industrial production line.

compressors; assembly; springs; automated systems; error detection;