Abstract
Among all kinds of possible faults in a manufacturing system, operational faults occur most often (about 70%). Efficient diagnosis of these faults is critical for improving the availability and productivity of the manufacturing system. This paper presents a hierarchical diagnosis model based on fault tree analysis (FTA) and two other diagnosis models, respectively, based on the logic and sequential control of manufacturing systems which are usually controlled by a programmable logical controller (PLC). With these models working together, the operational faults of a manufacturing system can be diagnosed completely. The models have been successfully applied to a PLC-controlled flexible manufacturing system (FMS) and have achieved good results. © 2002 Published by Elsevier Science B.V.
| Original language | English |
|---|---|
| Pages (from-to) | 108-117 |
| Journal | Journal of Materials Processing Technology |
| Volume | 133 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 1 Feb 2003 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Fault diagnosis
- Fault tree analysis
- Manufacturing system
- PLC
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