From c5ac42aff69b2b5a8fb52d12c38d51b673dc0111 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Afr=C3=A2nio=20Melo?=
 <40374017+afraniomelo@users.noreply.github.com>
Date: Sun, 15 Sep 2024 17:39:56 -0300
Subject: [PATCH] bugs and more bugs

---
 docs/source/tutorial_tep.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/tutorial_tep.ipynb b/docs/source/tutorial_tep.ipynb
index 5f0a6df..6375418 100644
--- a/docs/source/tutorial_tep.ipynb
+++ b/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)."
    ]
   },
   {