In the presence of multiple delay faults, automated diagnostic procedures that make a single fault assumption may give an incorrect diagnosis. In this paper, a systematic approach is proposed for delay fault diagnosis under a multiple fault assumption. Information from the failing test vectors are used to construct a list of single and multiple fault suspects that may have caused all of the obs...

This paper presents a modeling procedure and diagnostic algorithm for fixture related faults in panel assembly. From geometric information about the panel and fixture, a fixture fault model can be constructed off-line. Combining the fault model with inline panel dimensional measurements, the algorithm is capable of detecting and classifying multiple fixture faults. The algorithm, which relies h...

A simulation-based approach to multiple stuck-at fault diagnosis is presented. The algorithm works iteratively as it identifies and fault models a single location at a time so that the functionality of the new netlist gradually resembles that of the corrupted one. The method is based on a theoretical result along with a number of heuristics which help avoid the exponential complexity inherent t...

Occurrence of a multiple-points fault in machine operations could result in exhibiting complex fault signatures, which could result in lowering fault diagnosis accuracy. In this study, a multiple-points defect model (MPDM) is proposed which can simulate fault signature’s dynamics for n-points bearing faults. Furthermore, this study identifies that in case of multiple-points fault in the rotary ...

Conformance testing is the problem of constructing a complete test suite of inputs based on a specification S such that any implementation I (of size less than a given bound) that is not equivalent to S gives a different output on the test suite than S. Typically I and S are assumed to be some type of finite automata. In this paper we consider the problem of constructing test suites for boolean...

Fault recovery techniques must be reexamined in the light of the new guaranteed performance services that networks will support. We investigate the rerouting of guaranteed performance service connections on the occurrence of link faults, focussing on the aspects of route selection and establishment in the network. In a previous investigation, we explored some components of rerouting in the pres...

We present adapted inductive methods for learning similarities, parameter weights and diagnostic profiles for case-based reasoning. All of these methods can be refined incrementally by applying different types of background knowledge. Diagnostic profiles are used for extending the conventional CBR to solve cases with multiple faults. The context of our work is to supplement a medical documentat...

This paper extends model-based diagnosis (MBD) (Reiter, 1987; de Kleer and Williams, 1987) to systems which convert, move and process materials or objects. Examples of such systems are printers, refineries, manufacturing lines and food processing plants. Such plants present two challenges to model-based diagnosis: (1) the plant may process with very high speed while handling multiple objects in...