Abstract: Systems and methods for an online predictive diagnostic and prognostic maintenance system are disclosed. The systems and methods may be configured for use with networked gaming machines. The systems and methods may operate in real time and may detect and analyze data representing various indicators of machine performance or a current or future decrease in machine performance. The data may represent or be used to predict machine performance and risk of failure and to identify necessary or recommended repair, maintenance or other performance issues. In another embodiment systems and methods are disclosed for automated analysis of data regarding machine operation and generation of rules related to predicting the future performance, repair and maintenance needs of machines.

Abstract: The present application discloses a preventative, diagnostic maintenance system designed for gaming systems. Sensor and software monitor, accumulate, store and share information for efficient maintenance of the gaming systems. Diagnostic and prognostic tests are run and results prioritized wherein minor and intermittent problems that indicate potential future problems are stored. When a technician visit is prescribed, the system will present via a GUI a visualization of the status of gamed devices, and, forearm the technician with the high and low priority information regarding the high priority problems along with the low priority problems for all the game devices at the same site. The technician will be able to bring the specific tools, programs and parts to service the high and the low priority problems of all the game devices.