Pii: S0954-1810(99)00025-4

Automatic generation of control sequences for manufacturing systems based on partial order planning techniques

This work presents an approach for the application of artiicial intelligence planning techniques to the automatic generation of control sequences for manufacturing systems. These systems have some special features that must be considered in the planning process, but there are diiculties when the usual models of action are used to deal with these features. In this work, a specialized interval-ba...

Automatic diagnosis with genetic algorithms and case-based reasoning

Pii: S0954-1810(99)00002-3

The discrete mathematical representations of graph theory, augmented by theorems of matroid theory, were found to have elements and structures isomorphic with those of many different engineering systems. The properties of the mathematical elements of those graphs and the relations between them are then equivalent to knowledge about the engineering system, and are hence termed “embedded knowledg...

Neural network modeling of active devices for use in MMIC design

This work can be classified into three parts: The first part is a multidimensional signal–noise neural network model for a microwave smallsignal transistor. Here the device is modeled by a black box, whose small signal and noise parameters are evaluated through a neural network, based upon the fitting of both these parameters for multiple bias and configuration with their target values. The sec...

Indexing and retrieval in machining process planning using case-based reasoning

To reduce the manufacturing time of a product, one effective way to develop a machining process plan for a new part is to retrieve a relevant case of process planning similar to a new desired part and then adapt the retrieved case to meet the new requirements. This paper proposes a mechanism for retrieval of process planning cases. The core of the retrieval mechanism contains: (1) a feature-bas...