In this paper, a fault diagnostic method is proposed for autobody assembly fixtures. This method uses measurement data to detect and isolate dimensional faults of part caused by fixture. The proposed method includes a predetermined variation pattern model and a fault mapping procedure. The variation pattern model is based on CAD information about the fixture geometry and location of the measurement points. This fault mapping procedure combines Principal Component Analysis with pattern recognition approach. Simulations and one case study illustrate the proposed method
Vehicle problems, such as wind noise, water leakage and door closing effort are examples of quality ...
Because of the lack of diagnostic support, many attempts of statistical process control (SPC) fail t...
Assembly process-induced dimensional variation has a significant impact on product quality and funct...
This paper develops a new diagnostics methodology for N-2-1 fixtures used in assembly processes with...
In the auto body assembly process, fixtures are used to position parts during assembly and inspectio...
In the auto body assembly process, fixtures are used to position parts during assembly and inspectio...
In the auto body assembly process, fixtures are used to position parts during assembly and inspectio...
This paper presents a methodology to diagnose sources of dimensional variation for compliant parts f...
Fixture faults have been identified as a principal root cause of defective products in assembly line...
In the auto body assembly process, fixtures position parts during assembly and inspection. Variation...
In the auto body assembly process, fixtures position parts during assembly and inspection. Variation...
Sheet metal assembly is widely used in the fabrication of automotive body structures, aircraft fusel...
The objective of root cause analysis (RCA) is to make the trouble shooting dimensional error efforts...
This thesis presents a multi-sensor placement methodology developed and implemented for dimensional ...
This paper introduces the novel concept of self-evolving measurement system with the aim of rapidly ...
Vehicle problems, such as wind noise, water leakage and door closing effort are examples of quality ...
Because of the lack of diagnostic support, many attempts of statistical process control (SPC) fail t...
Assembly process-induced dimensional variation has a significant impact on product quality and funct...
This paper develops a new diagnostics methodology for N-2-1 fixtures used in assembly processes with...
In the auto body assembly process, fixtures are used to position parts during assembly and inspectio...
In the auto body assembly process, fixtures are used to position parts during assembly and inspectio...
In the auto body assembly process, fixtures are used to position parts during assembly and inspectio...
This paper presents a methodology to diagnose sources of dimensional variation for compliant parts f...
Fixture faults have been identified as a principal root cause of defective products in assembly line...
In the auto body assembly process, fixtures position parts during assembly and inspection. Variation...
In the auto body assembly process, fixtures position parts during assembly and inspection. Variation...
Sheet metal assembly is widely used in the fabrication of automotive body structures, aircraft fusel...
The objective of root cause analysis (RCA) is to make the trouble shooting dimensional error efforts...
This thesis presents a multi-sensor placement methodology developed and implemented for dimensional ...
This paper introduces the novel concept of self-evolving measurement system with the aim of rapidly ...
Vehicle problems, such as wind noise, water leakage and door closing effort are examples of quality ...
Because of the lack of diagnostic support, many attempts of statistical process control (SPC) fail t...
Assembly process-induced dimensional variation has a significant impact on product quality and funct...