Research Article

Meteorological Satellite Operation Prediction Using a BiLSTM Deep Learning Model

Table 1

Variables of satellite telemetry.

Variable nameVariable symbol

AGRI scanning mechanism statusTMC1
AGRI EW angleTMC2
AGRI NS angleTMC3
AGRI 0.55 preamplifier +5 VTMC4
AGRI 0.45 preamplifier +5 VTMC5
AGRI 1.36 preamplifier +5 VTMC6
AGRI 0.55 preamplifier bias voltageTMC7
AGRI 0.45 preamplifier bias voltageTMC8
AGRI 1.36 preamplifier bias voltageTMC9
AGRI visible/near-infrared main amplifier +5 VTMC10
AGRI visible/near-infrared main amplifier −5 VTMC11
AGRI infrared main amplifier +12 VTMC12
AGRI infrared main amplifier −12 VTMC13
AGRI medium-long wave photoconduction preamplifier +12 VTMC14
AGRI medium-long wave photoconduction preamplifier −12 VTMC15
AGRI medium wave photovoltaic preamplifier +1.5 VTMC16
AGRI medium wave photovoltaic preamplifier −1.5 VTMC17
AGRI motor control +5 VTMC18
AGRI motor drive +8 VTMC19
AGRI temperature control +5 VTMC20
AGRI excitation +5 VTMC21
AGRI excitation −5 VTMC22
AGRI induct synchronizer +15 VTMC23
AGRI induct synchronizer −15 VTMC24
AGRI simulation conditioning +5 VTMC25
AGRI simulation conditioning −5 VTMC26