PreMETS -Digitalisation in Predictive Maintenance: Developing Digital Skills
Welcome to Digitalisation in Predictive Maintanance: Developing Digital Skills course! Dive into the future of industrial maintenance with our online course on predictive maintenance. Crafted by experts from the PreMETS consortium, this course equips you with the essential digital skills needed in this dynamic field. Learn how to effectively utilize data, understand various maintenance strategies, and explore cutting-edge technologies like Digital Twins, AR/VR, IoT, AI, and Machine Learning. Additionally, gain insights into cybersecurity, ethical considerations, and project management in predictive maintenance and earn your EQF 7 qualification. Whether you’re an industry professional or a newcomer, this course will prepare you to excel and lead in the realm of predictive maintenance.
Provided by: Helixconnect Europe
Starts:
Continuously open
Ends:
–
Application deadline:
Continuously open
Apply now 
Course Presentation
Participants will gain hands-on experience with Digital Twins, AR/VR, IoT, AI, and Machine Learning, all while understanding the importance of cybersecurity and ethical considerations. With a focus on practical applications and real-world case studies, the PreMETS course prepares both industry professionals and newcomers to lead and innovate in the predictive maintenance field.
What You’ll Learn through this course:
1. Data Utilization
Understand the importance of data quality and the various sources of data including equipment, product, customer, and environmental data.
Learn about different data types such as time-series and spatial data, and the formats and collection methods used in predictive maintenance.
2. Types of Maintenance & Digitalization
Explore various maintenance strategies including Predictive Maintenance (PM) and Condition-based Maintenance (CBM), and the role digital technologies play in these processes.
Examine the pros and cons of each maintenance type and understand how digital tools enhance their effectiveness.
3. Emerging Technologies
Discover cutting-edge technologies like Digital Twins, Augmented Reality (AR), Virtual Reality (VR), and their applications in predictive maintenance.
Learn about the integration of drones and advanced robotics in maintaining and inspecting equipment.
4. Cybersecurity & Ethical Considerations
Grasp the importance of cybersecurity in protecting predictive maintenance systems and the ethical considerations in data management.
Navigate the regulatory landscape and understand data protection standards to ensure compliance and ethical data practices.
5. Predictive Maintenance Techniques
Delve into various predictive maintenance techniques such as signal processing, vibration monitoring, thermography, and tribology.
Gain insights into real-world applications and case studies that highlight the effectiveness of these techniques.
6. IoT, AI, Machine Learning, and Blockchain
Learn how the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning, and Blockchain technologies are transforming predictive maintenance.
Explore how these technologies can be leveraged to predict failures, optimize maintenance schedules, and improve overall operational efficiency.
7. Project Management & Collaboration
Understand the principles of project management in the context of predictive maintenance projects.
Discover collaboration tools and strategies to effectively manage maintenance teams and projects.
– Course Benefits –
By the end of this course, you will:
• Have a comprehensive understanding of predictive maintenance and its applications.
• Be able to utilize various data sources and types effectively.
• Be familiar with emerging digital technologies and their integration into maintenance practices.
• Understand the critical role of cybersecurity and ethical considerations in predictive maintenance.
• Be equipped with practical knowledge of various predictive maintenance techniques.
• Be prepared to manage and collaborate on predictive maintenance projects efficiently.
Course details
Venue
Online
Deep tech fields
Internet Of Things | W3C | Semantic Web
Virtual Reality | Augmented Reality | Metaverse
Cybersecurity & Data Protection
Artificial Intelligence & Machine Learning (including Big Data)
Country
Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas (the), Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bosnia and Herzegovina, Botswana, Bouvet Island, Brazil, British Indian Ocean Territory (the), Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Cayman Islands (the), Central African Republic (the), Chad, Chile, China, Christmas Island, Cocos (Keeling) Islands (the), Colombia, Comoros (the), Congo (the Democratic Republic of the), Congo (the), Cook Islands (the), Costa Rica, Côte d’Ivoire, Croatia, Cuba, Curaçao, Cyprus, Czech Republic, Czechia, Denmark, Djibouti, Dominica, Dominican Republic (the), Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Falkland Islands (the) [Malvinas], Faroe Islands (the), Fiji, Finland, France, French Guiana, French Polynesia, French Southern Territories (the), Gabon, Gambia (the), Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guernsey, Guinea, Guinea-Bissau, Guyana, Haiti, Heard Island and McDonald Islands, Holy See (the), Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran (Islamic Republic of), Iraq, Ireland, Isle of Man, Israel, Italy, Jamaica, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Korea (the Democratic People’s Republic of), Korea (the Republic of), Kosovo, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic (the), Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Macao, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands (the), Martinique, Mauritania, Mauritius, Mayotte, Mexico, Micronesia (Federated States of), Moldova (the Republic of), Monaco, Mongolia, Montenegro, Montserrat, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, Netherlands (Kingdom of the), New Caledonia, New Zealand, Nicaragua, Niger (the), Nigeria, Niue, Norfolk Island, North Macedonia, Northern Mariana Islands (the), Norway, Oman, Online, Pakistan, Palau, Palestine, State of, Panama, Papua New Guinea, Paraguay, Peru, Philippines (the), Pitcairn, Poland, Portugal, Puerto Rico, Qatar, Réunion, Romania, Russian Federation (the), Rwanda, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Pierre and Miquelon, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Sint Maarten (Dutch part), Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Georgia and the South Sandwich Islands, South Sudan, Spain, Sri Lanka, Sudan (the), Suriname, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic (the), Taiwan (Province of China), Tajikistan, Tanzania, the United Republic of, Thailand, Timor-Leste, Togo, Tokelau, Tonga, Trinidad and Tobago, Tunisia, Turkmenistan, Turks and Caicos Islands (the), Tuvalu, Türkiye, Uganda, Ukraine, United Arab Emirates (the), United Kingdom of Great Britain and Northern Ireland (the), United States Minor Outlying Islands (the), United States of America (the), Uruguay, Uzbekistan, Vanuatu, Venezuela (Bolivarian Republic of), Viet Nam, Virgin Islands (British), Virgin Islands (U.S.), Wallis and Futuna, Western Sahara*, Yemen, Zambia, Zimbabwe, Åland Islands
Course language
English
Course certification
EQF 7 certification
Fee
Free course
Duration (hours)
54
Certificate provided
Yes
Skills addressed
data analysis; data quality management; equipment maintenance; predictive maintenance; condition-based maintenance; digital tools; digital twins; augmented reality; virtual reality; drone technology; robotics; cybersecurity; ethical data management; regulatory compliance; signal processing; vibration monitoring; thermography; tribology; Internet of Things (IoT); artificial intelligence (AI); machine learning; blockchain technology; project management; team collaboration; maintenance strategies; operational efficiency.
Course format
Online
Target group
Postgraduate-level learners, Professional development learners, Life-long learners
Quality check
Approved
Dates
Starts:
Continuously openEnds:
–Application deadline:
Continuously openCourse provider
Apply now
Ready to take the next step in your journey? Apply now and embark on a transformative learning experience. Whether you’re pursuing a passion or advancing your career, we’re here to help you succeed. Don’t wait any longer – seize the opportunity and apply today!
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