def derive(self,
gl=M('Gear (L) Position'),
gn=M('Gear (N) Position'),
gr=M('Gear (R) Position'),
gc=M('Gear (C) Position')):
up_state = vstack_params_where_state(
(gl, 'Up'),
(gn, 'Up'),
(gr, 'Up'),
(gc, 'Up'),
).all(axis=0)
down_state = vstack_params_where_state(
(gl, 'Down'),
(gn, 'Down'),
(gr, 'Down'),
(gc, 'Down'),
).all(axis=0)
transit_state = vstack_params_where_state(
(gl, 'In Transit'),
(gn, 'In Transit'),
(gr, 'In Transit'),
(gc, 'In Transit'),
).any(axis=0)
param = first_valid_parameter(gl, gn, gr, gc)
self.array = np_ma_masked_zeros_like(param.array)
self.array[repair_mask(up_state, repair_duration=None)] = 'Up'
self.array[repair_mask(down_state, repair_duration=None)] = 'Down'
self.array[repair_mask(transit_state,
repair_duration=None)] = 'In Transit'
self.array = nearest_neighbour_mask_repair(self.array)
def derive(self,
gear_L=M('Gear (L) Up In Transit'),
gear_N=M('Gear (N) Up In Transit'),
gear_R=M('Gear (R) Up In Transit'),
gear_C=M('Gear (C) Up In Transit')):
combine_params = [(x, 'Retracting')
for x in (gear_L, gear_R, gear_N, gear_C) if x]
if len(combine_params):
self.array = vstack_params_where_state(*combine_params).any(axis=0)
def derive(self,
brk1=M('Rotor Brake (1) Engaged'),
brk2=M('Rotor Brake (2) Engaged')):
stacked = vstack_params_where_state(
(brk1, 'Engaged'),
(brk2, 'Engaged'),
)
self.array = stacked.any(axis=0)
self.array.mask = stacked.mask.any(axis=0)
def derive(self,
eng_1_oei=M('Eng (1) One Engine Inoperative'),
eng_2_oei=M('Eng (2) One Engine Inoperative'),
autorotation=S('Autorotation')):
oei = vstack_params_where_state((eng_1_oei, 'Active'),
(eng_2_oei, 'Active')).any(axis=0)
for section in autorotation:
oei[section.slice] = False
self.array = oei
def derive(self,
brk1=M('Rotor Brake (1) Engaged'),
brk2=M('Rotor Brake (2) Engaged')):
stacked = vstack_params_where_state(
(brk1, 'Engaged'),
(brk2, 'Engaged'),
)
self.array = stacked.any(axis=0)
self.array.mask = stacked.mask.any(axis=0)
def derive(self,
eng_1_oei=M('Eng (1) One Engine Inoperative'),
eng_2_oei=M('Eng (2) One Engine Inoperative'),
autorotation=S('Autorotation')):
oei = vstack_params_where_state((eng_1_oei, 'Active'),
(eng_2_oei, 'Active')).any(axis=0)
for section in autorotation:
oei[section.slice] = False
self.array = oei
def derive(self,
ase1=M('ASE (1) Engaged'),
ase2=M('ASE (2) Engaged'),
ase3=M('ASE (3) Engaged')):
stacked = vstack_params_where_state(
(ase1, 'Engaged'),
(ase2, 'Engaged'),
(ase3, 'Engaged'),
)
self.array = stacked.sum(axis=0)
self.offset = offset_select('mean', [ase1, ase2, ase3])
def derive(self,
ase1=M('ASE (1) Engaged'),
ase2=M('ASE (2) Engaged'),
ase3=M('ASE (3) Engaged')):
stacked = vstack_params_where_state(
(ase1, 'Engaged'),
(ase2, 'Engaged'),
(ase3, 'Engaged'),
)
self.array = stacked.sum(axis=0)
self.offset = offset_select('mean', [ase1, ase2, ase3])
def derive(self,
gl=M('Gear (L) In Transit'),
gn=M('Gear (N) In Transit'),
gr=M('Gear (R) In Transit'),
gc=M('Gear (C) In Transit')):
# Join all available gear parameters and use whichever are available.
self.array = vstack_params_where_state(
(gl, 'In Transit'),
(gn, 'In Transit'),
(gr, 'In Transit'),
(gc, 'In Transit'),
).any(axis=0)
def derive(self,
gl=M('Gear (L) Up'),
gn=M('Gear (N) Up'),
gr=M('Gear (R) Up'),
gc=M('Gear (C) Up')):
# Join all available gear parameters and use whichever are available.
self.array = vstack_params_where_state(
(gl, 'Up'),
(gn, 'Up'),
(gr, 'Up'),
(gc, 'Up'),
).all(axis=0)
# remove any spikes
_slices = runs_of_ones(self.array == 'Down')
_slices = slices_remove_small_gaps(_slices, 2, self.hz)
for _slice in _slices:
self.array[_slice] = 'Down'