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Asset performance management (APM)

Digital solutions improving industrial asset performance, reliability, risk management and overall business profitability

If you are looking to generate more value from existing assets
  • Just starting with condition monitoring based on available OT data for a few asset types
  • Ready to scale, connecting more assets to a plant-wide predictive maintenance program
  • Ready to connect more data sources for advanced pattern recognition on critical assets
  • Curious to explore the relationship between maintenance and other departments' constraints
  • Willing to get a holistic view on asset performance for continuous improvement
  • Need to estimate asset life and costs over 10-20 years for investment planning

Brochure
Press release


Our offering

The next generation of asset performance management
enhanced with AI/ML

Consulting, predictive maintenance, performance and remote assistance services by industry

Your APM journey

Global industries are increasingly focusing on asset performance management to continuously improve productivity and competitiveness. Despite the shift toward more proactive maintenance strategies businesses are still facing unforeseen errors and mishaps that impact operations and safety.


Current volatile economic conditions have limited funding and reduced onsite staff, increasing the need for remote access, automation and efficient risk management. There is also a greater desire to generate more value from existing assets.


Core corporate initiatives such as sustainability and digital transformation have accelerated, involving information sharing and application integration.

Working with a partner that has the competency and clear focus to bring free data flow across the entire value chain is the best approach to harness the power of digitalization and reliability culture for industries.

Steps to value


We make it easy to get started with pre-built asset models

Based on your assets' criticality level, the percentage that are already instrumented, and known bad actors. The number of pre-built models is constantly growing, together with the new impactful predictive analytics use cases for every industry

Static Rotary
 Electrical  Instruments & Devices
Heat Exchanger
Boiler
Pipeline
Burners
Column
Fired heater
Pressure safety valve
Pressure vessel
Reactor
Storage tank
Rotary
Centrifugal compressor
Centrifugal pump
Rotary pump
Gear box
Motor
Radial blower
Roller bearings
Mounted bearings
Turbine - gas
Turbine - steam
Transformer
Electric generator
Battery
Cable
Switchgear
Circuit breaker
Drive
Relay
UPS
Analyzer
Control system
Control valve
On-off valve
Transmitter
(pressure, temp, flow)

Analyst views

ARC Advisory Group
IoT Analytics
McKinsey

Develop a vision for your operations

Reduce maintenance costs by

15%+


Reduce downtime by

5%+


Rationalize parts inventory by

30%+


Increase machine life by

25%+


Increase overall productivity by

8%+






Testimonials

AN OIL PLATFORM

"The streaming service and the cloud-based applications from ABB are actual examples of realization of OKEA's strategy to continuously improve and become more efficient in operations by partnering with our key suppliers."

Tord Hansen Tremoen, Manager Business Performance, OKEA

ABB and OKEA digital partnership

The Draugen oil platform is located 130 km off the coast of Norway in 250 meters of water. Previously, data was downloaded from the platform control system to intermediate databases. This stripped the data of the context and immediacy required to optimize operations. By putting new cloud-based analytics solutions from ABB to work at its onshore operations center, OKEA is closing the loop from data to value creation. AI, ML, creative problem-solving, expertise and collaboration can inspire more progress.

33 HYDROELECTRIC PLANTS


“We are privileged to be partnering with Enel Green Power, a digital pioneer, in their move from hours-based to predictive maintenance utilizing ABB Ability™ technologies for big data, machine learning and advanced analytics”

Kevin Kosisko, Managing Director, Energy Industries, ABB (2019)

Enel Green Power predicts maintenance needs for sustainable hydropower operation

This operator of 25.26GW of hydropower is partnering with ABB to transition 33 of its hydropower plants from an hours-based maintenance approach to a predictive and condition-based maintenance approach

A STEEL PLANT


“By moving to a predictive maintenance model, we aim to improve equipment reliability and reduce unplanned shutdowns. ABB’s solution was the ideal choice for CELSA because it can be easily integrated with any DCS system, it is also flexible and scalable”

Ramon Garriga, Plant Manager CELSA

ABB’s asset management solution set to boost efficiency and productivity at CELSA Barcelona

The ABB Ability™-based application monitors the health of a variety of production assets, including automation, instrumentation, electrical, mechanical and process equipment. It offers CELSA a complete overview of its production assets’ health, avoiding unnecessary maintenance, reducing exposure to hazardous areas and speeding repairs.

A BIO-PRODUCT MILL


"Some parts of the remote monitoring we have been able to do earlier, but not for so many different assets and while handling process optimization at the same time. The possibility of analysis have increased, and everything is now offered in one and the same environment”

Lena Stridsman, Digitalization Manager at ABB, Sweden

Detecting errors before they occur – on all components - is our goal

A typical pulp mill is connected to the network for 50,000 points and generates 10TB of data each year. The information comes from control system sensors, laboratory equipment, transformers and switchgear. Several components of Metsä Group’s bioproduct mill in Äänekoski - electrical system and 650 drives - are remotely connected to ABB's control center, help increase the factory's performance and runnability.
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Expert Insights




Cyber security and data ownership

ABB's APM applications support all the deployment variants needed: on premise, on ABB managed or customer manages cloud, on customer private cloud / data center. You own your data. We ensure defence in depth cyber security, data protection, reliability, privacy, intellectual property.

The Cyber Security Reference Architecture is an ABB-developed design standard for industrial systems and associated security controls. ABB engineering teams use the architecture during system deployments, and ABB service units use it to update and modernize existing customer networks to bring them in line with current cyber security standards and best practices.

ABB Ability™ digital services have successfully improved the cyber security of industrial sites across the globe. Many customers have scheduled risk assessments as part of their ongoing annual service agreements, while others have implemented cyber security analytics dashboards to continuously monitor, diagnose and resolve security issues.

Compliance

ABB’s security measures in the Reference Architecture meet or exceed IEC 62443-3-3 security level 2 (SL2) as defined in foundational requirement section 5 (RE5). It also aligns with other common standards such as the NIST framework, ISO 27001 and NERC-CIP. Implementing the reference architecture does not guarantee passage of external certification audits; however, ABB can support compliance for specific security standards with additional recommendations.

Digital transformation partnership

For every industrial operation ambitious about Industry 4.0, ABB has built a framework to help drive and manage a complex change.

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