A power distribution equipment monitoring system comprising: a sensing assembly being configured for incorporation in, onto or proximate at least one power distribution equipment, the sensing assembly being configured to output sensor signals indicative of sounds and/or vibrations from the at least one power distribution equipment; an intelligent audio analytic, IAA, device 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 power distribution equipment, and to output detection information to an output device to alert an operator of detection of any anomalies, wherein the IAA device includes programmed instructions stored on a non-transitory computer readable storage medium 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, wherein the at least one neural network comprises an auto encoder, AE, neural network which relies on a low dimensional latent representation of signal subspace, the AE neural network being configured to receive the sensor signals as input and to output reconstructed sensor signals based on the input, wherein an error signal is generated that is indicative of a difference between the input and the output of the AE 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 power distribution equipment, the sensing assembly being configured to output sensor signals indicative of sounds and/or vibrations from the at least one power distribution equipment; an intelligent audio analytic, IAA, device 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 power distribution equipment, and to output detection information to an output device to alert an operator of detection of any anomalies, wherein the IAA device includes programmed instructions stored on a non-transitory computer readable storage medium 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, wherein the at least one neural network comprises an auto encoder, AE, neural network which relies on a low dimensional latent representation of signal subspace, the AE neural network being configured to receive the sensor signals as input and to output reconstructed sensor signals based on the input, wherein an error signal is generated that is indicative of a difference between the input and the output of the AE neural network, and wherein the processor is configured to detect anomalies based on a magnitude of the error signal.