Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoning theory. Traditionally, certainty reasoning theory is used to detect and diagnose satellite faults. However, in practice, it is difficult to detect and diagnose some satellite faults automatically only by use of certainty reasoning theory. The reason is that detection and diagnosis of these faults requires reasonable reasoning and fault-tolerant capability, but certainty reasoning theory can not realize the capability. Fortunately, uncertainty reasoning theory can meet this requirement. Now, it is attracting attention of many researchers and practitioners in the space field all over the world that uncertainty reasoning theory is applied to detect and diagnose the satellite faults which can not be handled properly by certainty reasoning theory. Uncertainty reasoning theory includes several kinds of theories, such as inclusion degree theory, rough set theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and so on. This paper introduces three new methods to detect and diagnose the satellite faults, in which inclusion degree theory, rough set theory and evidence reasoning theory of the uncertainty reasoning theory are used respectively.