This article presents a new remote fault diagnosis and alarm architecture with the use of Cyber-physical systems and Cloud technology. Due to the large quantity of data collected from machines and their processing Cloud computing and Cyber-physical systems play a key role in such maintenance purposes. Currently, several remote diagnosis troubleshooters with different diagnostic tools and connection techniques have been proposed, but they rarely find interpretable diagnosis techniques. As such, the purpose of this paper is to propose a cyber-remote fault diagnosis system based on the combination between pattern recognition techniques and Cloud Technologies. The new troubleshooter is based on Cloud Computing to connect the system components achieving the cyber-physical system definition for Industry 4.0. Our system is a remote online device that measures vibration signals. The proposed troubleshooter is tested using the run-to-failure of aerospace rolling element-bearing data sets. The results reveal that the proposed methodology improves diagnostic accuracy compared with the most popular methodology used in other related systems. Finally, current and future Cyber-physical systems and Cloud technologies applications in the maintenance field are discussed.