Use scan_for_outliers for HBB too

electronic_checks.py

@@ -9,9 +9,10 @@ def find_bb_outliers(frame, parameters, bb):
     window_length = parameters.get('window_length', 50)
 
     if bb == 'HBB':
-        bbb_outliers = _find_6sigma_outliers(frame['{}bottomTemp'.format(bb)], window_length)
-        bba_outliers = _find_6sigma_outliers(frame['{}apexTemp'.format(bb)], window_length)
-        bbt_outliers = _find_6sigma_outliers(frame['{}topTemp'.format(bb)], window_length)
+        delta_thresh = .001
+        bbb_outliers = np.array(list(_scan_for_outliers(frame, '{}bottomTemp'.format(bb), delta_thresh)))
+        bba_outliers = np.array(list(_scan_for_outliers(frame, '{}apexTemp'.format(bb), delta_thresh)))
+        bbt_outliers = np.array(list(_scan_for_outliers(frame, '{}topTemp'.format(bb), delta_thresh)))
     else:
         delta_thresh = .01
         bbb_outliers = np.array(list(_scan_for_outliers(frame, '{}bottomTemp'.format(bb), delta_thresh)))