A method for detecting performance of an Airbone Auxiliary Power Unit, APU, fuel assembly of an aircraft, comprising: obtaining APU messages at multiple time points within a time period; obtaining running parameters of the APU fuel assembly according to the APU messages, the running parameters at least comprising starting times of the APU; said method being characterized in: calculating an average value and a standard deviation of the starting times within said time period; and determining whether performance of the APU fuel assembly is in a stable phase, a decline phase or a failure phase according to the standard deviation of the starting times: in response to the standard deviation of the starting times within said time period being smaller than a decline threshold value, determining that performance of the APU fuel assembly is in the stable phase; in response to the standard deviation of the starting times within said time period being larger than the decline threshold value and is smaller than a failure threshold value, determining that performance of the APU fuel assembly is in the decline phase; and in response to the standard deviation of the starting times within said time period being larger than the failure threshold value, determining that performance of the APU fuel assembly is in the failure phase. obtaining APU messages at multiple time points within a time period; obtaining running parameters of the APU fuel assembly according to the APU messages, the running parameters at least comprising starting times of the APU; said method being characterized in: calculating an average value and a standard deviation of the starting times within said time period; and calculating an average value and a standard deviation of the starting times within said time period; and determining whether performance of the APU fuel assembly is in a stable phase, a decline phase or a failure phase according to the standard deviation of the starting times: in response to the standard deviation of the starting times within said time period being smaller than a decline threshold value, determining that performance of the APU fuel assembly is in the stable phase; in response to the standard deviation of the starting times within said time period being larger than the decline threshold value and is smaller than a failure threshold value, determining that performance of the APU fuel assembly is in the decline phase; and in response to the standard deviation of the starting times within said time period being larger than the failure threshold value, determining that performance of the APU fuel assembly is in the failure phase. in response to the standard deviation of the starting times within said time period being smaller than a decline threshold value, determining that performance of the APU fuel assembly is in the stable phase; in response to the standard deviation of the starting times within said time period being larger than the decline threshold value and is smaller than a failure threshold value, determining that performance of the APU fuel assembly is in the decline phase; and in response to the standard deviation of the starting times within said time period being larger than the failure threshold value, determining that performance of the APU fuel assembly is in the failure phase.