A space system equipment monitoring system comprising: a sensing assembly being configured for incorporation in, onto or proximate at least one space system equipment, the sensing assembly being configured to output sensor signals indicative of sounds and vibrations from the at least one space system equipment; an intelligent audio analytic, IAA, device (106, 108) configured to receive the sensor signals from the sensing assembly, to process the sensor signals to detect anomalies from operation of the at least one space system equipment, and to output detection information to an output device to alert an operator of detection of any anomalies; a non-transitory computer readable storage medium configured to store programmed instructions; and a processor configured to execute the programmed instructions, wherein the programmed instructions include an analytics algorithm for execution by the processor which causes the processor to continuously process the sensor signals to detect the anomalies, wherein the analytics algorithm includes at least one neural network, wherein inputs to the at least one neural network are based on the sensor signals received by the IAA device (106, 108), the space system equipment monitoring system being characterised in that it further comprises a preprocessor adapted to preprocess the sensor signals before supplying them as inputs to the neural network, wherein the preprocessor is adapted to preprocess the sensor signals by removing competing environmental or ambient noise, wherein the at least one neural network comprises an autoencoder neural network, the autoencoder network being configured to receive the sensor signals as input and to output reconstructed sensor signals based on the input, wherein the space system equipment monitoring system is further adapted to generate an error signal that is indicative of a difference between the input and the output of the autoencoder neural network, and wherein the processor is configured to detect anomalies based on a magnitude of the error signal. a sensing assembly being configured for incorporation in, onto or proximate at least one space system equipment, the sensing assembly being configured to output sensor signals indicative of sounds and vibrations from the at least one space system equipment; an intelligent audio analytic, IAA, device (106, 108) configured to receive the sensor signals from the sensing assembly, to process the sensor signals to detect anomalies from operation of the at least one space system equipment, and to output detection information to an output device to alert an operator of detection of any anomalies; a non-transitory computer readable storage medium configured to store programmed instructions; and a processor configured to execute the programmed instructions, wherein the programmed instructions include an analytics algorithm for execution by the processor which causes the processor to continuously process the sensor signals to detect the anomalies, wherein the analytics algorithm includes at least one neural network, wherein inputs to the at least one neural network are based on the sensor signals received by the IAA device (106, 108), the space system equipment monitoring system being characterised in that it further comprises a preprocessor adapted to preprocess the sensor signals before supplying them as inputs to the neural network, wherein the preprocessor is adapted to preprocess the sensor signals by removing competing environmental or ambient noise, wherein the at least one neural network comprises an autoencoder neural network, the autoencoder network being configured to receive the sensor signals as input and to output reconstructed sensor signals based on the input, wherein the space system equipment monitoring system is further adapted to generate an error signal that is indicative of a difference between the input and the output of the autoencoder neural network, and wherein the processor is configured to detect anomalies based on a magnitude of the error signal.