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Top Predictive Maintenance Companies in Norway

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58 companies for Predictive Maintenance in Norway

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AMPs - Asset Management & Predictive solutions.'s Logo

AMPs - Asset Management & Predictive solutions.

Bergen, Norway

A

1-10 Employees

2017

Key takeaway

AMPs AS is a leading provider of predictive maintenance solutions, offering a comprehensive range of services and expertise in vibration analysis and asset management. With over 25 years of experience and a team of certified engineers, AMPs ensures enhanced plant reliability through advanced diagnostic techniques and tailored predictive maintenance programs.

Reference

Service

Services | AMPs | Asset Management and Predictive Solutions

With a proven successful record of AMPs technical team, our troubleshooting engineers have the ability to solve and support your asset problems.

Maskindynamikk's Logo

Maskindynamikk

Molde, Norway

A

1-10 Employees

1989

Key takeaway

Maskindynamikk AS specializes in condition monitoring and troubleshooting of rotating machinery, offering services that include the design and implementation of reliability-based maintenance systems. Their expertise in vibration analysis and online condition monitoring positions them well in the predictive maintenance sector.

Reference

Product

MD products

Vibration monitoring, Shaft power measurements, Online condition monitoring, Noise and Vibration Measurements and Analysis

Dynatrend AS's Logo

Dynatrend AS

Stavanger, Norway

A

1-10 Employees

-

Key takeaway

Dynatrend focuses on providing advanced monitoring and diagnostic tools that enhance predictive maintenance by allowing for the assessment of machine condition without the need for disassembly. Their VEWS Vibration Analysis systems are designed to protect machinery from degradation, thereby minimizing production losses and reducing maintenance costs.

Reference

Core business

Dynatrend AS – Vibration Early Warning System

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Cognite's Logo

Cognite

Bærum, Norway

A

501-1000 Employees

2016

Key takeaway

Cognite's application, Cognite Maintain, enhances predictive maintenance by providing data-driven insights and optimized scheduling, enabling chemical producers to transition from reactive to proactive operations. This approach not only improves maintenance monitoring but also demonstrates significant ROI and overall benefits.

Reference

Product

Cognite Maintain | Business Application

Bring performant contextualized data and a modern interface to your maintenance processes.

Intelligent Mud Solutions AS's Logo

Intelligent Mud Solutions AS

Stavanger, Norway

A

1-10 Employees

2010

Key takeaway

Intelligent Mud Solutions specializes in fluid analysis and management, providing unique autonomous solutions that enable real-time analytics and diagnostics. Their capability to connect remotely with control systems allows for effective predictive maintenance by assessing the need for service, repair, or replacement based on diagnostic data.

Reference

Core business

Fluid Analysis Technology | Intelligent Mud Solutions | Norway

Intelligent Mud Solutions is an international fluid analysis technology supplier. We offer unique, autonomous solutions, expertise, real time analytics, and management of the fluid characteristics.

Itefy Equipment Management Software's Logo

Itefy Equipment Management Software

Frogn, Norway

A

1-10 Employees

-

Key takeaway

Itefy offers equipment maintenance management software that enables efficient organization and scheduling of maintenance tasks. By tracking usage and logging maintenance events, it helps reduce equipment loss and ensures timely responses to issues, which are crucial for predictive maintenance.

Reference

Product

Equipment Maintenance Management Software (CMMS) - Itefy

Log maintenance and other equipment events to keep track of maintenance expences, licence renewals etc.

Depro AS Bedriftsidrettslag's Logo

Depro AS Bedriftsidrettslag

Bryne, Norway

A

11-50 Employees

2007

Key takeaway

Depro AS specializes in providing tools and equipment for remote subsea operations, with a strong focus on repair and maintenance services that can enhance the longevity of equipment. Their expertise in developing customized solutions and offering life extension concepts directly supports predictive maintenance strategies.

Reference

Service

Depro provide many concepts for Life Exstension , including upgrade.

Repair and maintenance can be bought as a separate service at Depro AS.

Karsten Moholt's Logo

Karsten Moholt

Bergen, Norway

A

101-250 Employees

1945

Key takeaway

The Moreld Moholt group focuses on predictive maintenance by offering condition-based maintenance and advanced electrical condition monitoring for rotating equipment and hydropower generators. Their services enhance the lifespan and performance of machinery across various sectors, including oil and gas, maritime, and renewable energy.

Reference

Service

Maritime machinery services

Renewable offers advanced electrical condition monitoring and repair of hydropower generators.

Ocean IMR's Logo

Ocean IMR

Klepp, Norway

A

1-10 Employees

-

Key takeaway

Ocean IMR emphasizes its commitment to deploying new technology and automation to enhance its operations. Their services include inspection, maintenance, and repair, which are essential for effective predictive maintenance in drilling equipment.

Reference

Service

Ocean IMR | Services

Providing inspection, maintenance & repair services on tubular and drilling components.

CEMIT GROUP's Logo

CEMIT GROUP

Porsgrunn, Norway

A

51-100 Employees

2018

Key takeaway

CEMIT offers a robust AI Data Platform that enhances predictive maintenance by integrating various data sources and analysis techniques, enabling users to detect and prevent unforeseen anomalies effectively. This versatile solution simplifies the process of collecting, visualizing, predicting, and acting on infrastructure data, ensuring continuous live updates and immediate return on investment.

Reference

Product

The CEMIT AI Data Platform

We make it as simple as collect, visualize, predict and act. Able to integrate with any of your measurement tools, the Platform is a versatile data-driven AI solution that provides a comprehensive report on the state of your infrastructure. With its easy installation, immediate ROI, and continuous live-data feed, get ready to enjoy the advantages of a predict-and-prevent maintenance solution.


Related searches for Predictive Maintenance

Technologies which have been searched by others and may be interesting for you:

Products and services for Predictive Maintenance

A selection of suitable products and services provided by verified companies according to your search.

Product: edpem

Product

edpem

Go to product

Product: Offshore Converter Station Maintenance and Servicing

Service

Offshore Converter Station Maintenance and Servicing

Go to product

Product: OperAID

Service

OperAID

Go to product

Product: Automotive Engineering

Service

Automotive Engineering

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Use cases around Predictive Maintenance

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Airport, Logistics

The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.

UseCase: Real-Time-Monitoring

Use case

Real-Time-Monitoring

Logistics

The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Airport, Logistics

The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.

Information about Predictive Maintenance in Norway

When exploring the Predictive Maintenance industry in Norway, several key considerations come into play. Norway's strong emphasis on sustainability and environmental protection influences regulations, requiring companies to adopt eco-friendly practices. The country is at the forefront of integrating technology with maintenance strategies, leveraging advanced analytics and IoT to optimize equipment performance and reduce downtime. However, challenges such as high initial investment costs and the need for skilled personnel can impact entry into the market. Norway's competitive landscape includes both established players and innovative startups, creating opportunities for collaboration and knowledge sharing. The global market relevance is significant, as demand for predictive maintenance solutions continues to rise across various sectors, including oil and gas, manufacturing, and renewable energy. Additionally, staying informed about technological advancements and regulatory changes is crucial for effectively navigating this evolving industry. Understanding these factors will help individuals and businesses make informed decisions while engaging with companies in Norway's predictive maintenance sector.


Insights about the Predictive Maintenance results above

Some interesting numbers and facts about your company results for Predictive Maintenance

Country with most fitting companiesNorway
Amount of fitting manufacturers38
Amount of suitable service providers31
Average amount of employees1-10
Oldest suiting company1945
Youngest suiting company2018

Frequently asked questions (FAQ) about Predictive Maintenance Companies

Some interesting questions that has been asked about the results you have just received for Predictive Maintenance

Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Predictive Maintenance are Oil, Energy and Gas, IT, Software and Services, Manufacturing, Other, Maritime and Ship Building

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Predictive Maintenance results by various countries

Related categories of Predictive Maintenance