A Comprehensive Survey of Sensor Deployment Strategies to Diagnose Discrete-Part Manufacturing System

Abstract

This paper presents a broad overview of the various sensor placement strategies to diagnose discrete-part manufacturing system. Due to the technical complexity, the performance of sensor system would be cursed by any modules of sensor placement strategies. Therefore, the current state of the sensor placement strategies is outlined with three key modules, namely cause-effect relationship model, optimization basis, and optimization algorithm, are surveyed in detail. The challenges faced by industry and academia are discussed and several principle conclusions are drawn, which could create a clear platform for the neophyte researchers for sensor deployment to diagnose discrete-part manufacturing system.