PSI - Issue 77

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ScienceDirect

Procedia Structural Integrity 77 (2026) 567–574 Structural Integrity Procedia 00 (2026) 000–000 Structural Integrity Procedia 00 (2026) 000–000

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© 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of ICSI organizers © 2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of ICSI organizers. Keywords: Condition monitoring; Stamping press; Multi Sensor This paper describes the early stage of developing the monitoring system, including the design of the system architecture and the definition of the sensing plan. To support the development and validation of the processing algorithms, data were collected from a stamping presses ensuring representative signal characteristics for press operation. © 2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of ICSI organizers. Keywords: Condition monitoring; Stamping press; Multi Sensor International Conference on Structural Integrity Condition-Based Monitoring System for a Stamping Press Carolina Francisco a, ∗ , Hugo Mesquita Vasconcelos a , Susana Dias a , Pedro J. S. C. P. Sousa a,b , Paulo J. Tavares a , Pedro M. G. J. Moreira a , Tiago T.M. Soares c , Anto´nio da S. Guedes c a INEGI, Institute of Science and Innovation in Mechanical Engineering and Industrial Engineering, Rua Dr. Roberto Frias Nº 400, 4200-465 Porto, Portugal b Departamento de Engenharia Mecaˆnica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s / n, 4200-465 Porto, Portugal c Mecaˆnica Exata, S.A., R. Anto´nio Gomes da Cruz 34, 4535-438 Sa˜o Paio de Oleiros Abstract Stamping presses are essential in manufacturing due to their ability to produce components with high speed, precision and re peatability. However, unplanned downtime due to equipment failure can disrupt production and raise costs. While preventive maintenance schedules, commonly used by manufacturers, help reduce these risks, their time-based nature can lead to unnecessary stoppages and may miss emerging faults that develop between inspections. Condition-based systems capable of estimating the current condition of a press and detecting potential component faults o ff er significant advantages, as it can lead to energy and cost savings, as well as increased productivity and product quality. To address this need, a monitoring system was developed alongside the manufacturing of a new servo motorized stamping press. The system utilizes multi-sensor data collected from strategically placed sensors on the press. Sensor signals are filtered by dedicated modules and transmitted to a computer, where algorithms analyze the data to evaluate the press’s condition. The results of the estimated condition, along with the sensor data, are displayed on a dashboard also operating as an interface to manage data processing. The system’s modular architecture enables flexible integration or removal of sensors according to evolving requirements. This paper describes the early stage of developing the monitoring system, including the design of the system architecture and the definition of the sensing plan. To support the development and validation of the processing algorithms, data were collected from a stamping presses ensuring representative signal characteristics for press operation. International Conference on Structural Integrity Condition-Based Monitoring System for a Stamping Press Carolina Francisco a, ∗ , Hugo Mesquita Vasconcelos a , Susana Dias a , Pedro J. S. C. P. Sousa a,b , Paulo J. Tavares a , Pedro M. G. J. Moreira a , Tiago T.M. Soares c , Anto´nio da S. Guedes c a INEGI, Institute of Science and Innovation in Mechanical Engineering and Industrial Engineering, Rua Dr. Roberto Frias Nº 400, 4200-465 Porto, Portugal b Departamento de Engenharia Mecaˆnica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s / n, 4200-465 Porto, Portugal c Mecaˆnica Exata, S.A., R. Anto´nio Gomes da Cruz 34, 4535-438 Sa˜o Paio de Oleiros Abstract Stamping presses are essential in manufacturing due to their ability to produce components with high speed, precision and re peatability. However, unplanned downtime due to equipment failure can disrupt production and raise costs. While preventive maintenance schedules, commonly used by manufacturers, help reduce these risks, their time-based nature can lead to unnecessary stoppages and may miss emerging faults that develop between inspections. Condition-based systems capable of estimating the current condition of a press and detecting potential component faults o ff er significant advantages, as it can lead to energy and cost savings, as well as increased productivity and product quality. To address this need, a monitoring system was developed alongside the manufacturing of a new servo motorized stamping press. The system utilizes multi-sensor data collected from strategically placed sensors on the press. Sensor signals are filtered by dedicated modules and transmitted to a computer, where algorithms analyze the data to evaluate the press’s condition. The results of the estimated condition, along with the sensor data, are displayed on a dashboard also operating as an interface to manage data processing. The system’s modular architecture enables flexible integration or removal of sensors according to evolving requirements.

∗ Carolina Francisco E-mail address: cfrancisco@inegi.up.pt ∗ Carolina Francisco E-mail address: cfrancisco@inegi.up.pt

2452-3216 © 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of ICSI organizers 10.1016/j.prostr.2026.01.072 2210-7843 © 2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of ICSI organizers. 2210-7843 © 2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of ICSI organizers.