Authors:
Rui Pinto
;
Rosaldo J. F. Rossetti
and
Gil Gonçalves
Affiliation:
University of Porto, Portugal
Keyword(s):
Castalia, Sensor Diagnosis and Validation, Industrial Wireless Sensor Networks.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Discrete-Event Simulation
;
Dynamical Systems Models and Methods
;
Formal Methods
;
Industrial Processes
;
Simulation and Modeling
Abstract:
Sensor data is extremely important to monitor machines at the shop-floor level and its environmental surrounding
conditions for condition-based monitoring, machine diagnosis and process adaptation to new requirements.
Based on the described scope, self-diagnostics and self-organizing capabilities are core functionalities of any
Industrial Wireless Sensor Network (IWSN). In the present work, a simulated case study was developed with
the main intent of validating techniques implemented for sensor data diagnosis of error detection and equipment
failure. The scenarios explored try to mimic some common situations of a manufacturing environment
when dealing with WSNs, where a piece of sensor equipment suddenly stops working or an unpredictable
change in the environment leads to faulty data readings. This paper introduces Castalia and describes how
it was used to simulate a direct application of an Optical Metrology System on an industrial Resistance Spot
Welding process, which is composed
of a camera and several luminosity sensors. More specifically, a sensor
data validation module was proposed, implemented and used to extend Castalia functionalities.
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