Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach

Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach

This paper presents a methodology for diagnostics of fixture failures in multistage manufacturing processes (MMP). The diagnostic methodology is based on the state-space model of the MMP process, which includes part fixturing layout geometry and sensor location. The state space model of the MMP characterizes the propagation of fixture fault variation along the production stream, and is used to ...

Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach

Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowledge-based system and developed techniques within artificial intelligence principles are showing its capability in assisting process operators to detect and diagnose faults and anomalies in industrial processes, especiall...

JAPAN/USA Symposium on Flexible Automation 2000 MODELING AND DIAGNOSIS OF MULTISTAGE MANUFACTURING PROCESSES: PART I – STATE SPACE MODEL

This two-part paper focuses on the modeling and diagnosis of multistage manufacturing processes. Part I develops a state space model characterizing variation propagation in a multistage process. The state space model describes a discrete-time LTV (Linear Time Varying) stochastic system, which strongly indicates that the existing system and control theory could be used to perform systematic anal...

Signature construction and matching for fault diagnosis in manufacturing processes through fault space analysis

Variation-source identification in manufacturing processes is highly desired since it enables improvements in product quality. Recently, data-driven variation-source identification has received considerable attention. This paper presents a systematic variation-source identification method by assuming a linear model between the quality measurements and process faults. The noise term in the model...

Variability monitoring of multistage manufacturing processes using regression adjustment methods