Title :
Application of stochastic modelling to support predictive maintenance for industrial environments
Author :
Jardim-Goncalves, Ricardo ; Martins-Barata, Manuel ; Assis-Lopes, José Álvaro ; Steiger-Garcao, A.
Author_Institution :
Centre for Intelligent Robotics, UNINOVA, Monte de Caparica, Portugal
Abstract :
This paper presents the work that is being done by the UNINOVA´s Intelligent Robotics Group, on a computerised numerical control (CNC) monitoring and prognosis system, using stochastic autoregressive integrated moving average (ARIMA) models. The experiments are based on an integrated hardware/software environment including CNC lathe and mill machines. The machining process is monitored using sensors for vibrations, sound and power consumption. The results obtained using real data, captured in real time using these sensors on a CNC machine, and modelled using stochastic ARIMA models, are presented. The authors´ point of view about quality of conformity, related with the supervision of process control in manufacturing during machining tasks, and its implications in the enhancement of the system´s efficiency, are also discussed
Keywords :
autoregressive moving average processes; computerised numerical control; machine tools; machining; maintenance engineering; monitoring; process control; CNC lathe; industrial environments; integrated hardware/software environment; machining process; mill machines; predictive maintenance; process control; quality of conformity; stochastic autoregressive integrated moving average models; stochastic modelling; supervision; Acoustic sensors; Application software; Computer numerical control; Computerized monitoring; Intelligent robots; Intelligent sensors; Machining; Power system modeling; Predictive models; Stochastic processes;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.569751