Causal Inference for Multi-Fault Satellite Failures
fix the telemetry deviation graph
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aethelix_documentation.pdf
aethelix_documentation.pdf
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docs/gsat6a_detection_comparison.png
docs/gsat6a_detection_comparison.png
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docs/gsat6a_telemetry_deviations.png
docs/gsat6a_telemetry_deviations.png
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gsat6a/mission_analysis.py
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gsat6a/mission_analysis.py
···
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def _analyze_baseline(self):
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"""Analyze nominal baseline characteristics."""
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nom = self.nominal_df
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fail = self.failure_df
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# Record nominal stats for findings
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# Record telemetry stats comparing nominal vs degraded
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self.findings.add_telemetry_stat(
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"Solar Input", "W",
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nom['solar_input_w'].mean(), nom['solar_input_w'].std(),
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nom['solar_input_w'].mean(), 0
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fail['solar_input_w'].mean(), fail['solar_input_w'].std()
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)
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self.findings.add_telemetry_stat(
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"Battery Voltage", "V",
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nom['battery_voltage_v'].mean(), nom['battery_voltage_v'].std(),
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nom['battery_voltage_v'].mean(), 0
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fail['battery_voltage_v'].mean(), fail['battery_voltage_v'].std()
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)
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self.findings.add_telemetry_stat(
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"Battery Charge", "Ah",
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nom['battery_charge_ah'].mean(), nom['battery_charge_ah'].std(),
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nom['battery_charge_ah'].mean(), 0
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fail['battery_charge_ah'].mean(), fail['battery_charge_ah'].std()
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)
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self.findings.add_telemetry_stat(
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"Bus Voltage", "V",
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nom['bus_voltage_v'].mean(), nom['bus_voltage_v'].std(),
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nom['bus_voltage_v'].mean(), 0
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fail['bus_voltage_v'].mean(), fail['bus_voltage_v'].std()
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)
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self.findings.add_telemetry_stat(
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"Battery Temperature", "°C",
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nom['battery_temp_c'].mean(), nom['battery_temp_c'].std(),
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nom['battery_temp_c'].mean(), 0
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fail['battery_temp_c'].mean(), fail['battery_temp_c'].std()
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)
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def _detect_anomalies(self):
gsat6a_detection_comparison.png
gsat6a_detection_comparison.png
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gsat6a_telemetry_deviations.png
gsat6a_telemetry_deviations.png
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