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Commit a7a9960c authored by Mads M. Pedersen's avatar Mads M. Pedersen
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new revolution_trigger method

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wetb/signal/subset_mean.py
+ 47
− 1
View file @ a7a9960c
......@@ -136,7 +136,53 @@ def cycle_trigger(values, trigger_value=None, step=1, ascending=True, tolerance=
else:
return np.where((values[1:] < trigger_value - tolerance) & (values[:-1] >= trigger_value + tolerance))[0][::step]
def revolution_trigger(values, rpm_dt=None, dmin=5, dmax=10, ):
def revolution_trigger(rotor_position, sample_frq, rotor_speed, max_no_round_diff=1):
"""Returns one index per revolution (minimum rotor position)
Parameters
----------
rotor_position : array_like
Rotor position [deg] (0-360)
sample_frq : int or float
Sample frequency [Hz]
rotor_speed : array_like
Rotor speed [RPM]
Returns
-------
nd_array : Array of indexes
"""
if isinstance(rotor_speed, (float, int)):
rotor_speed = np.ones_like(rotor_position)*rotor_speed
deg_per_sample = rotor_speed*360/60/sample_frq
sample_per_round = 1/(rotor_speed/60/sample_frq)
thresshold = deg_per_sample.max()*2
nround_rotor_speed = np.nansum(rotor_speed/60/sample_frq)
mod = [v for v in [5,10,30,60,90] if v>thresshold][0]
nround_rotor_position = np.nansum(np.diff(rotor_position)%mod)/360
assert abs(nround_rotor_position-nround_rotor_speed)<max_no_round_diff, "No of rounds from rotor_position (%.2f) mismatch with no_rounds from rotor_speed (%.2f)"%(nround_rotor_position, nround_rotor_speed)
#print (nround_rotor_position, nround_rotor_speed)
rp = np.array(rotor_position).copy()
#filter degree increase > thresshold
#rp[np.r_[True, np.diff(rp)>thresshold]] = np.nan
upper_indexes = np.where((rp[:-1]>(360-thresshold))&(rp[1:]<(360-thresshold)))[0]
lower_indexes = np.where((rp[:-1]>thresshold)&(rp[1:]<thresshold))[0] +1
# Best lower is the first lower after upper
best_lower = lower_indexes[np.searchsorted(lower_indexes, upper_indexes)]
upper2lower = best_lower - upper_indexes
best_lower = best_lower[upper2lower<upper2lower.mean()*2]
max_dist_error = max([np.abs((i2-i1)- np.mean(sample_per_round[i1:i2])) for i1,i2 in zip(best_lower[:-1], best_lower[1:])])
#assert max_dist_error < sample_frq/5, max_dist_error
return best_lower
def revolution_trigger_old(values, rpm_dt=None, dmin=5, dmax=10, ):
"""Return indexes where values are > max(values)-dmin and decreases more than dmax
If RPM and time step is provided, triggers steps < time of 1rpm is removed
......
wetb/signal/tests/test_subset_mean.py
+ 31
− 3
View file @ a7a9960c
......@@ -9,7 +9,7 @@ import unittest
import numpy as np
from wetb import gtsdf
from wetb.signal.subset_mean import time_trigger, subset_mean, \
non_nan_index_trigger, revolution_trigger
non_nan_index_trigger, revolution_trigger_old, revolution_trigger
from wetb.utils.geometry import rpm2rads
......@@ -68,10 +68,10 @@ class TestSubsetMean(unittest.TestCase):
ds = gtsdf.Dataset(tfp+'azi.hdf5')
azi, rpm, time = [ds(x)[8403:8803] for x in ['azi','Rot_cor','Time']]
trigger = revolution_trigger(azi)
trigger = revolution_trigger_old(azi)
np.testing.assert_array_equal(trigger, [ 17, 128, 241, 354])
azi[64] = 358
trigger = revolution_trigger(azi, (ds('Rot_cor'), np.diff(time).mean()))
trigger = revolution_trigger_old(azi, (ds('Rot_cor'), np.diff(time).mean()))
# import matplotlib.pyplot as plt
# t = np.arange(len(azi))
......@@ -82,5 +82,33 @@ class TestSubsetMean(unittest.TestCase):
np.testing.assert_array_equal(trigger, [ (128,241),(241,354)])
def test_revolution_trigger(self):
rotor_position = np.arange(0.,360*10,4)
rotor_position += np.random.random(len(rotor_position))
rotor_position = rotor_position % 360
if 0:
x1 = np.random.randint(0, len(rotor_position),10)
print (list(x1))
x2 = np.random.randint(0, len(rotor_position),10)
print (list(x2))
else:
x1 = [447, 854, 595, 804, 847, 488, 412, 199, 675, 766]
x2 = [92, 647, 821, 422, 33, 159, 369, 99, 157, 464]
rotor_position[x1] += 360
rotor_position[x2] -= 360
rotor_position[90] = 180
#rotor_position = np.array([0.027969170192937542, 4.8738812928381359, 8.3490557684647584, 12.778466029641653, 16.638967323267195, 20.637055087385736, 24.203215135705932, 28.459444294226614, 32.103278056104919, 36.49414733856829, 40.824175799890554, 44.959069970415271, 48.265338075185625, 52.679813880478953, 56.540136234914918, 60.613801502624405, 64.069451340466486, 68.506035756247982, 72.858621694077272, 76.864165669186377, 80.454078231552259, 84.834549977244592, 88.117366018011481, 92.6415076533481, 96.448226954830233, 100.74147386541706, 104.05264899329615, 108.70445047578677, 112.15773724302161, 116.62487393440466, 120.42409830357822, 124.59070847488204, 128.6449519801516, 132.92449368065098, 136.88229744294841, 140.97437798819104, 144.89877139335846, 148.90265260277673, 152.73212683477473, 156.53001421332172, 160.12283131316141, 164.49619998092174, 168.961786805191, 172.23768704081152, 176.58030927377717, 180.98695233907907, 184.94678224748185, 188.94060402501432, 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#print (list(rotor_position))
indexes = revolution_trigger(rotor_position, 20,1/(90/20/60))
np.testing.assert_array_equal(indexes, [ 91, 180, 270, 360, 450, 540, 630, 720, 810])
if 0:
import matplotlib.pyplot as plt
plt.plot(rotor_position)
plt.plot(indexes, np.zeros_like(indexes),'.')
plt.show()
if __name__ == "__main__":
unittest.main()
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