Update file liuice_index.md

liuice_index.md

@@ -39,8 +39,8 @@ The objective of the competition is to address these challenges by designing a d
 
 <i>The LiU-ICE benchmark has previously been used in the <a href="https://vehsys.gitlab-pages.liu.se/diagnostic_competition/">IFAC Safeprocess 2024 competition</a>. The main updates in this competition, with respect to the IFAC Safeprocess 2024 competition, is that the training data set is extended, test data will consist of new fault scenarios from different driving cycles, and an updated set of performance matrics.<\i> 
 
-![A picture of the experimental test bench](images/engine_test_bench.jpg){: width="40%"}
-![A schematic of the air path of the internal combustion engine](images/schematics.jpg){: width="40%"}
+![A picture of the experimental test bench](liuice/images/engine_test_bench.jpg){: width="40%"}
+![A schematic of the air path of the internal combustion engine](liuice/images/schematics.jpg){: width="40%"}
 
 ## Data
 <a name="data"></a>
@@ -60,7 +60,7 @@ Available actuator signals:
 * Requested injected fuel mass - umf
 * Requested wastegate actuator position - uwg
 
-![An example of measurement data](images/engine_signals.jpg){: width="80%"}
+![An example of measurement data](liuice/images/engine_signals.jpg){: width="80%"}
 
 The ambient pressure and temperature signals vary between different datasets mainly due to the ambient conditions in the lab and not due to faults.
 
@@ -102,10 +102,10 @@ L Eriksson <br>
 Oil & Gas Science and Technology-Revue de l'IFP 62 (4), 523-538</i>
 
 The provided model is implemented in <a href="https://faultdiagnosistoolbox.github.io">Fault Diagnosis Toolbox</a> which is available in Python. The model can be downloaded here:
-* python ([engine_model.py](competition/model/engine_model.py), [main.py](competition/model/main.py))
+* python ([engine_model.py](liuice/competition/model/engine_model.py), [main.py](liuice/competition/model/main.py))
 
 The figure below is generated using the Fault Diagnosis Toolbox shows a structural representation of the mathematical model. Each row represents an equation and each column a model variable where blue are unknown variables, red are fault signals, and black are known signals.
-![A structural representation of the model generated using the Fault Diagnosis Toolbox](images/structural_model.jpg){: width="40%"}
+![A structural representation of the model generated using the Fault Diagnosis Toolbox](liuice/images/structural_model.jpg){: width="40%"}
 
 ### Description of the diagnosis system interface and evaluation script