Case Study

Wärtsilä

Asset diagnostics and management solution

Ensuring real-time predictive diagnostics of physical assets to reduce downtime and optimize maintenance

About Wärtsilä

Wärtsilä is a global leader in smart technologies and lifecycle solutions for the marine and energy markets. With operations in over 80 countries, Wärtsilä serves a wide range of industries, providing critical machinery and digital solutions.

Over the years, Wärtsilä has partnered with Siili Solutions to tackle key digital transformation challenges, enhancing their asset management, web presence, and technical knowledge base. This collaboration has focused on improving operational efficiency, customer experience, and data management. 

Asset diagnostics and management solution

Project overview

As a company managing complex machinery on vessels operating globally, Wärtsilä needed a solution to improve its predictive maintenance capabilities.

One of the main challenges was gathering and processing data from vessels in remote locations with limited or no internet connectivity. Ensuring real-time predictive diagnostics of physical assets like engines, generators, and water systems was critical to reduce downtime and optimize maintenance schedules. 

Project overview

Challenge

Wärtsilä needed a solution to improve predictive maintenance while operating in remote locations with limited connectivity.

Real-time diagnostics were required to monitor critical systems such as engines and generators.

Data collection and processing had to be seamless, secure, and scalable.

Solution

  • Cloud infrastructure – AWS was used for reliable data ingestion and processing.

  • Predictive diagnostics – A rules engine enabled Wärtsilä to define custom predictive maintenance models.

  • Scalability – The cloud-native approach allowed Wärtsilä to expand operations globally.

Siili’s Approach

Asset diagnostics and management solution

Siili took over the development and maintenance of Wärtsilä’s custom asset diagnostics solution, enhancing its predictive capabilities through:

Data collection & integration

Ensuring secure, scalable data transfers from vessels using satellite, FTP, and email. 

Predictive maintenance engine

Implementing a rules-based system to identify part failures before they occurred.

Cloud-based scalability

Deploying AWS solutions to support Wärtsilä’s growing fleet.

Impact

  • Reduced downtime
    Proactive maintenance minimized unexpected failures.

  • Improved efficiency
    Real-time diagnostics enabled timely repairs and resource optimization.

  • Global scalability
    Reliable data processing ensured predictive diagnostics across the entire fleet.

Technologies and methods

    • Agile development
    • Cloud infrastructure: AWS (Amazon Web Services), serverless architecture 

    • Predictive maintenance: Rules engine, third-party integrations 

    • Web platform: Progress® Sitefinity™ CMS, Sitefinity Insight for personalization 

    • Salesforce integration: Salesforce data and document management integration 

    • Data security: Strong permissions and security for sensitive client data 

    • Scalability: Horizontally scalable solutions for web, data, and knowledge base 

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