Modern industry 4.0 technologies are critical for improving the efficiency of transactions and sharing distributed resources and big data for optimal utilization within manufacturing networks. Therefore, they play a paramount role in various industrial sectors, especially in assets maintenance. The concept of Maintenance as a Service is inspired from the principle of cloud manufacturing, that seeks to provide on-demand manufacturing through the use of manufacturing resources, thereby matching the cloud-computing paradigm’s goal of delivering everything as a service. Reliable maintenance refers to the early detection of faults to prevent assets from suffering unexpected downtime, thus reducing the high cost of maintenance. The main objective of this work is to present a fault diagnosis architecture that includes spans from fault detection to the conception of comprehensive and intelligent maintenance architecture. This concept intends to assure asset reliability and availability at the industry level, while also meeting the evolving demands of Industry 4.0 technologies.