Abstract: A malfunction estimation method allows personnel and spare parts to be provided according to the nature of the fault by means of the estimation of malfunction using machine noise analysis. The sounds of the machines are recorded online or offline via a mobile application on the mobile devices of operators or customers. Mentioned sounds and sounds from an audio database are analyzed by fault classification algorithms and the fault information is reported to the operator or customer online or offline via mobile application or an internet platform. It is ensured that the malfunctioned part is detected with only one mobile device without the need for additional equipment.

Abstract: The present invention, relates to an online malfunction estimation method that allows taking required precautions for possible malfunctions to be detected in the heavy equipment. More specifically, the present invention relates to a method that allows estimating of maintenance by processing of provided data related to construction machines, such as type, model, working hours, working conditions, maintenance history, obtained through a mobile application running on a mobile device and a platform miming on a computing device as well as processing of sensor data received through a data transfer device, by machine learning methods, and that allows development of data analytics infrastructure.