Through a combination of a hybrid diagnostic scheme based on qualitative and quantitative technologies, at least component level status information can be obtained about a machine, such as an electronic device. In particular, qualitative model based diagnostic technologies is used in conjunction with quantitative analysis techniques and signature analysis to achieve accurate and reliable diagnosis of components and systems down to the individual component level, for example, down to the consumer replaceable unit level. Thus, the hybrid diagnostic methodology exploits the diagnostic information content in already available system signals via intelligent processing and allows for diagnosis with minimal sensor requirements. Furthermore, the diagnostic methodology allows for a self-diagnosing machine having diagnostic intelligence which in turn can reduce service time, service costs, increased machine up time and improve customer satisfaction.