QUASIMO or Quality via a System Intelligence Methodology aims to develop decision support tools that will allow to avoid critical system failures in mechatronic machines and scrap in production processes wherein quality is predominantly the result of mechatronic actions. Sudden failures in e.g. drivetrain applications or low product quality in production processes are often caused by a combination of multiple interacting environmental or system conditions and hidden dynamics. A Bayesian Network (BN) provides a probabilistic reasoning framework linking root causes with occurring sudden failures or quality. QUASIMO will develop a system intelligence framework to predict the probability; to diagnose and to mitigate failures or low quality. To maximise the potential for the targeted applications, QUASIMO will propose a novel Bayesian Networks based framework that in a hybrid manner leverages on both data and expert knowledge (in form of simple behavioral models and/or qualitative know-how).