Fault Tree Analysis (FTA)

MATLAB Simulink Based Fault Tree Analyser

Figure 1. Fault Tree of an Autonomous Underwater Gliding Robot (Aslansefat, K. et al. 2014)

Assumptions

To have an accurate results the following assumptions should be considered:

• The system components' failure rates obeys exponential distribution function.
• The occurrence of more than one fault at the sametime is not allowed and the common cause failures (CCFs) are ignored.
• Real-time repairing of vehicle's components is not allowed.
• Dynamic characteristics such as functionaldependency, components' priority and the use ofspares are not applied in the model.
• Repeated events may reduce the accuracy.

Related Publications

Aslansefat, Koorosh, Latif-Shabgahi, G., & Kamarlouei, M. (2014). A strategy for reliability evaluation and fault diagnosis of Autonomous Underwater Gliding Robot based on its Fault Tree . International Journal of Advances in Science Engineering and Technology, 2(4), 83-89.

Aslansefat, Koorosh, Latif-Shabgahi, G., & Kamarlouei, M., Mohammadi, M. (2019). Reliability and Sensitivity Evaluation of an AUV through Fault Tree Model with Uncertainty Consideration, Journal of Marine Science and Technology, 12(1), 1-14.

License

The MATLAB Simulink-based Fault Tree Analysis (FTA) framework is available under an MIT License.