predictive maintenance
The use of data analytics and mathematical calculation to manage and monitor the conditions of machines and production processes.
digital
Predictive maintenance experts analyse data collected from sensors located in factories, machineries, cars, railroads and others to monitor their conditions in order to keep users informed and eventually notify the need to perform maintenance.
Competences and skills
25 ESCO relationsEssential knowledge 8 competences
Occupation specific
1 competenceSector-specific
0 competencesNo competences in this bucket.
Cross-sector
7 competencescomputer programming
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) and of programming languages.
digCompdigital
electrical engineering
The field of engineering that deals with the study and application of electricity, electronics, and electromagnetism.
electricity
The principles of electricity and electrical power circuits, as well as the associated risks.
electronics
The functioning of electronic circuit boards, processors, chips, and computer hardware and software, including programming and applications.
digital
ICT networking hardware
The ICT network equipment or computer networking devices, such as UPS systems, electrical systems, networking facilities and structured cabling systems.
digital
mathematics
Mathematics is the study of topics such as quantity, structure, space, and change. It involves the identification of patterns and formulating new conjectures based on them. Mathematicians strive to prove the truth or falsity of these conjectures. There are many fields of mathematics, some of which are widely used for practical applications.
statistics
The study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments in order to forecast and plan work-related activities.
Essential skills and competences 12 competences
Occupation specific
1 competencedevelop data processing applications
Create a customised software for processing data by selecting and using the appropriate computer programming language in order for an ICT system to produce demanded output based on expected input.
digital
Sector-specific
4 competencesapply information security policies
Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.
design sensors
Design and develop different types of sensors according to specifications, such as vibration sensors, heat sensors, optical sensors, humidity sensors, and electric current sensors.
digital
manage data
Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.
digital
model sensor
Model and simulate sensors, products using sensors, and sensor components using technical design software. This way the viability of the product can be assessed and the physical parameters can be examined before the actual building of the product.
digital
Cross-sector
7 competencesadvise on equipment maintenance
Advise customers on the appropriate products, methods and, if necessary, interventions to ensure proper maintenance and prevent premature damage of an object or an installation.
analyse big data
Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.
digital
apply statistical analysis techniques
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
digital
ensure equipment maintenance
Ensure that the equipment required for operations is regularly checked for faults, that routine maintenance tasks are performed, and that repairs are scheduled and performed in the case of damage or flaws.
gather data
Extract exportable data from multiple sources.
digital
perform data analysis
Collect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.
digital
test sensors
Test sensors using appropriate equipment. Gather and analyse data. Monitor and evaluate system performance and take action if needed.
digital
Optional knowledge 2 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
1 competenceautomotive diagnostic equipment
The equipment used to examine automotive systems and components.
Cross-sector
1 competencecomputer simulation
A programme run on a computer that represents dynamic responses of a system to explore a mathematical model behaviour, using a model of a real system, composed of mathematical equations.
digital
Optional skills and competences 3 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
1 competenceuse automotive diagnostic equipment
Use diagnostic equipment to perform test on motor vehicles, components and systems to detect defects.
Cross-sector
2 competencesautomotive engineering
The discipline of engineering that combines mechanical, electrical, electronic, software and safety engineering to design motor vehicles such as trucks, vans and automobiles.
digital
deliver visual presentation of data
Create visual representations of data such as charts or diagrams for easier understanding.
digital