bugs and more bugs

docs/source/tutorial_tep.ipynb

@@ -318,7 +318,7 @@
     "\n",
     "When PCA is applied to fault detection, the principal components are selected using the training data. These principal components are expected to explain the variability of the test data as well. If the test data's variability is not adequately explained by the principal components identified during training, the process is considered to be faulty and alarms are trigged.\n",
     "\n",
-    "For more details on the PCA model, please refer to the following article: https://doi.org/10.3390/pr12020251."
+    "For more details on the PCA model, please refer to the following article: [https://doi.org/10.3390/pr12020251](https://doi.org/10.3390/pr12020251)."
    ]
   },
   {