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International audience; This paper presents an innovative vision for designing equipment suitable for integrated services development by intelligent data acquisition all along the lifecycle. After construction, maintaining the equipment's functions required is one major factor on which depend the performances of the equipment during the remaining of its life. The author so considers the recurring problems that can shrink the expected performances of the equipment may be prevented, using information available firstly for monitoring health conditions of the equipment and secondly for maintenance decision support. The author then proposes to optimize data collection and information of the lifecycle by integrating intelligent data acquisition from the beginning of the equipment design. He also proposes an approach for improving the equipment's maintainability using intelligent systems health condition monitoring for enhancing the concept of service built-in product. Finally, he describes an example, implementing the intelligent data acquisition system for a cumulative diagnostic strategy deployment for equipment health condition monitoring and lifecycle management. The proposed diagnosis strategy, so-called “cumulative diagnosis”, is devised for advanced decision support to predictive maintenance.

This paper presents an innovative vision for designing equipment suitable for integrated services development by intelligent data acquisition all along the lifecycle. After construction, maintaining the equipment's functions required is one major factor on which depend the performances of the equipment during the remaining of its life. The author so considers the recurring problems that can shrink the expected performances of the equipment may be prevented, using information available firstly for monitoring health conditions of the equipment and secondly for maintenance decision support. The author then proposes to optimize data collection and information of the lifecycle by integrating intelligent data acquisition from the beginning of the equipment design. He also proposes an approach for improving the equipment's maintainability using intelligent systems health condition monitoring for enhancing the concept of service built-in product. Finally, he describes an example, implementing the intelligent data acquisition system for a cumulative diagnostic strategy deployment for equipment health condition monitoring and lifecycle management. The proposed diagnosis strategy, so-called “cumulative diagnosis”, is devised for advanced decision support to predictive maintenance.