Research And Application Of Intelligent Fault Diagnosis Algorithm In 32-bit ARM Digital System

Stimulated by the developing of applications of 32-bit ARM MCU, The integration and function of 32-bit digital system is on the rise. To serve digital system fault detection requirements, a lot of intelligent fault detection and diagnostic methods have been researched. However, in most of fault diagnosis system, it is difficult to solve the fault confounding. To deal with it, the paper author had widely study in fault detection and condensing theorem, fault diagnostic soundness theorem and anti-aliasing theorem. In addition, the author also research in general detection optimal algorithm used by fault diagnosis system. These all give a strong knowledge background to author's research and dissertation writing.The paper studied a new detection optimal algorithm: NAAC (No Aliasing and Anti-Confounding) detection optimal algorithm deeply. In order to overcome its disadvantage (symptom confounding), the author had improved the NAAC algorithm and bring up a self-adaptive second-detecting matrix algorithm. And apply it to ARM digital system. The self-adaptive NAAC detection optimal algorithm can assure us of generating test matrix with no symptom aliasing and no symptom confounding. Meanwhile, it can compress a large amount of test matrix scale to very small degree. The PTV of test matrix is different for each other, but has same weight value. And the weight value can be appointed by fault diagnosis system designer. Another hand, due to the increase of then num of address pins, and the change of mapping of system address, the difficulty in address bus diagnosing has increase...