One or more devices in an accident detection and recovery computing system may be configured to determine that vehicle accidents have occurred, collect and analyze accident characteristics and other related data, and providing customized accident recovery services. Mobile computing devices, alone or in combination with vehicle-based systems and external devices, may detect accidents or receive accident indication data. After determining that an accident has occurred, mobile computing devices and/or vehicle-based systems may be configured to determine accident characteristics, retrieve vehicle data and vehicle occupant data from one or external servers, determine the damages or potential damages resulting from the accident, and determine one or more accident recovery options or recommendations based on the accident damages. Various user interface screens may be generated and displayed via the user's mobile device and/or a vehicle-based display device to provide the user with accident information, damages, and recovery options or recommendations.

A method for monitoring, diagnosing and predicting the health of an industrial machine having a rotating component and a sensor coupled to the industrial machine. The method containing the steps of receiving, from the at least one sensor, machine health data corresponding to a current operating condition of the industrial machine; generating, using a machine health module, a machine health status corresponding to the current operating condition of the industrial machine based on the machine health data; and communicating, to an electronic device, a representation of the machine health status. Also disclosed is a method for monitoring a plurality industrial machines having a rotating component; a non-transitory memory containing instructions and statements which, when executed by a processor, cause the processor to perform the method disclosed herein, a system for monitoring an industrial machine having a rotating component and a device to perform the method disclosed herein.

A method for monitoring, diagnosing and predicting the health of an industrial machine having a rotating component and a sensor coupled to the industrial machine. The method containing the steps of receiving, from the at least one sensor, machine health data corresponding to a current operating condition of the industrial machine; generating, using a machine health module, a machine health status corresponding to the current operating condition of the industrial machine based on the machine health data; and communicating, to an electronic device, a representation of the machine health status. Also disclosed is a method for monitoring a plurality industrial machines having a rotating component; a non-transitory memory containing instructions and statements which, when executed by a processor, cause the processor to perform the method disclosed herein, a system for monitoring an industrial machine having a rotating component and a device to perform the method disclosed herein.