Tecnologias da Manutenção

Teaching Methodologies

Lectures and Participatory Classes
Discussion and Debate
Project or Research Work
PBL – Problem-Based Learning
Cooperative Learning

Learning Results

Choose and determine the best technology to use as EAM;
Choose and determine the best technology to use as CMMS;
Choose and determine the best technology to use as an IOT platform;
Choose and determine the best technology to use as Big Data analysis platform;
Choose and determine the best technology to use as expert system, augmented reality;
To study, choose and determine how to interconnect the existing systems, so as to a correct functioning;
Design an integrated total system through the use of commercial, academic or research products;
Perceive the technologies to support maintenance activities and design and design a systems supported in coherent and functional choices.

Program

EAM / CMMS and online reading of the sensors.
Automatic registration in the CMMS: Automatic creation of the equipment dossier; Automatic Creation of Maintenance Plans; Automatic
Creation of Calibrations and Verifications.
Real-time interaction. Remote Maintenance. IOT. Big data.
Equipment: Self-diagnosis system and real-time communication.
Automatic integration of the Virtual model, for use with Augmented Reality and Artificial Vision.
Automatic location system.
Autonomous, interactive robots and maintenance support logistics.
Expert Systems; Artificial vision; mixed vision; augmented reality.
Protocols and interoperation of data between information systems.

Curricular Unit Teachers

Inácio de Sousa Adelino da Fonseca

Grading Methods

Continuous assessment
  • - Exam - 25.0%
  • - Individual and/or Group Work - 30.0%
  • - Attendance and Participation - 30.0%
  • - Mini Tests - 15.0%

Internship(s)

NAO

Bibliography

– Farinha, J.M.T. (2024). Physical Asset Management for a Sustainable World (1st ed.). CRC Press. https://doi.org/10.1201/9781003395690
– Farinha, J.M.T. (2018). Asset maintenance engineering methodologies. CRC Press Taylor & Francis Group. 978-1-138-03589-8. Cota: 2A-6-121 (ISEC) – 18383.
– Assis, R. (1997). Manutenção centrada na fiabilidade: economia das decisões. Lidel. 972-757-037-2. Cota: 2A-6-33 (ISEC) – 08702.
– Assis, R. (2014). Apoio à Decisão em Manutenção na Gestão de Ativos Físicos. Lidel. 978-989-752-112-6.
– Cabral, José Paulo Saraiva. (2013). Gestão da Manutenção de Equipamentos, Instalações e Edifícios. Lidel. 978-972-757-970-9.
Bibliografia existente na plataforma de apoio:
Fonseca, I. (2025). Enunciados do trabalho e Atividades práticas, Slides das aulas teóricas.
Material diverso em formato eletrónico, através da plataforma institucional, desde acetatos, folhas de Excel, e software de acordo com os conteúdos programáticos.

– Farinha, J.M.T. (2024). Physical Asset Management for a Sustainable World (1st ed.). CRC Press. https://doi.org/10.1201/9781003395690
– Farinha, J.M.T. (2018). Asset maintenance engineering methodologies. CRC Press Taylor & Francis Group. 978-1-138-03589-8. Call number: 2A-6-121 (ISEC) – 18383.
– Assis, R. (1997). Reliability-centred maintenance: economics of decisions. Lidel. 972-757-037-2. Call number: 2A-6-33 (ISEC) – 08702.
– Assis, R. (2014). Decision Support in Maintenance in Physical Asset Management. Lidel. 978-989-752-112-6.
– Cabral, José Paulo Saraiva. (2013). Management of Equipment, Facilities and Building Maintenance. Lidel. 978-972-757-970-9.
Bibliography available on the support platform:
Fonseca, I. (2025). Work statements and practical activities, slides from theoretical classes.
Various material in electronic format, available through the institutional platform, including transparencies, Excel spreadsheets, and software in accordance with the syllabus.