The full text of this article:

Diagnosability study for quality improvement based on distributed sensing and information technology
by Du Shichang, Xi Lifeng, Pan Ershun, Shi Jianjun, Ni Jun, Liu C. Richard
International Journal of Computer Applications in Technology (IJCAT), Vol. 28, No. 2/3, 2007
Abstract: With rapid innovations in information technology and sensing technology, increasingly less expensive and smart devices with multiple heterogeneous on-board sensors, networked through wireless links and deployable in large numbers, are distributed throughout complex Multistage Manufacturing Systems (MMSs). These technologies provide unprecedented opportunities for quality improvement. If product-sensing data are obtained via certain distributed sensing and information system, the problem of whether the faults of a manufacturing system are diagnosable is of great interest to both academia and industry. In this study, the diagnosability of the process faults in a MMS is defined in a general way using a linear input-output model, which does not depend on specific diagnosis algorithms. The condition of faults diagnosability, the diagnosability matrix and indices are defined and derived. Finally, the methodology is illustrated by a machining process and a hot deformation process.

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