From 0422f3a233b8711ed5868e04f7fe4393f65319e2 Mon Sep 17 00:00:00 2001
From: madsmpedersen <m@madsp.dk>
Date: Mon, 9 Nov 2015 10:16:33 +0100
Subject: [PATCH] added weibull test
---
wetb/dlc/tests/test_high_level.py | 33 ++++++++++++++++++++++++++-----
1 file changed, 28 insertions(+), 5 deletions(-)
diff --git a/wetb/dlc/tests/test_high_level.py b/wetb/dlc/tests/test_high_level.py
index ca652c2..ea1be64 100644
--- a/wetb/dlc/tests/test_high_level.py
+++ b/wetb/dlc/tests/test_high_level.py
@@ -4,9 +4,9 @@ Created on 09/10/2014
@author: MMPE
'''
import unittest
-from wetb.dlc.high_level import DLCHighLevel
+from wetb.dlc.high_level import DLCHighLevel, Weibull
import os
-
+import numpy as np
class TestDLCHighLevel(unittest.TestCase):
@@ -19,7 +19,7 @@ class TestDLCHighLevel(unittest.TestCase):
self.assertEqual(os.path.realpath(self.dlc_hl.res_path), os.path.realpath(os.path.join(os.getcwd(), "test_files/res")))
def test_sensor_info(self):
- self.assertEqual(list(self.dlc_hl.sensor_info().name), ['MxTB', 'MyTB', 'MxBR', 'PyBT', 'Power', 'Pitch', 'PitchBearing', 'Tip1TowerDistance', 'TipTowerDistance'])
+ self.assertEqual(list(self.dlc_hl.sensor_info().name), ['MxTB', 'MyTB', 'MxBR', 'PyBT', 'Pitch', 'PitchBearing', 'Tip1TowerDistance', 'TipTowerDistance'])
def test_sensor_info_filter(self):
self.assertEqual(list(self.dlc_hl.sensor_info(['fatigue']).m), [4, 4, 10])
@@ -67,8 +67,31 @@ class TestDLCHighLevel(unittest.TestCase):
self.assertTrue(k in self.dlc_hl.sensor_info().keys(), k)
- def test_extremeload_sensors(self):
- self.dlc_hl = DLCHighLevel('test_files/DLC_test2.xlsx')
+
+
+
+ def test_weibull_1(self):
+ Vin = 0.0
+ Vout = 100
+ Vref = 50
+ Vstep = .1
+ shape_k = 2
+ weibull = Weibull(Vref * 0.2, shape_k, Vin, Vout, Vstep)
+
+ # total probability needs to be 1!
+ p_tot = np.array([value for key, value in weibull.items()]).sum()
+ self.assertAlmostEqual(p_tot, 1.0, 3)
+
+ def test_weibull_2(self):
+ Vin = 1.0
+ Vout = 100
+ Vref = 50
+ Vstep = 2
+ shape_k = 2
+ weibull = Weibull(Vref * 0.2, shape_k, Vin, Vout, Vstep)
+ # total probability needs to be 1!
+ p_tot = np.array([value for key, value in weibull.items()]).sum()
+ self.assertTrue(np.allclose(p_tot, 1.0))
--
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