arrow_back_ios

Main Menu

See All Software See All Instruments See All Transducers See All Vibration Testing Equipment See All Electroacoustics See All Acoustic End-of-Line Test Systems See All Academy See All Resource Center See All Applications See All Industries See All Services See All Support See All Our Business See All Our History See All Global Presence
arrow_back_ios

Main Menu

See All nCode - Durability and Fatigue Analysis See All ReliaSoft - Reliability Analysis and Management See All Test Data Management See All DAQ Software See All Drivers & API See All Utility See All Vibration Control See All High Precision and Calibration Systems See All DAQ Systems See All S&V Hand-held Devices See All Industrial Electronics See All Power Analyzer See All S&V Signal Conditioner See All Acoustic Transducers See All Current and Voltage Sensors See All Displacement Sensors See All Force Sensors See All Load Cells See All Multi Component Sensors See All Pressure Sensors See All Strain Sensors See All Strain Gauges See All Temperature Sensors See All Tilt Sensors See All Torque Sensors See All Vibration See All Accessories for Vibration Testing Equipment See All Vibration Controllers See All Measurement Exciters See All Modal Exciters See All Power Amplifiers See All LDS Shaker Systems See All Test Solutions See All Actuators See All Combustion Engines See All Durability See All eDrive See All Production Testing Sensors See All Transmission & Gearboxes See All Turbo Charger See All Training Courses See All Acoustics See All Asset & Process Monitoring See All Custom Sensors See All Data Acquisition & Analysis See All Durability & Fatigue See All Electric Power Testing See All NVH See All Reliability See All Vibration See All Weighing See All Automotive & Ground Transportation See All Calibration See All Installation, Maintenance & Repair See All Support Brüel & Kjær See All Release Notes See All Compliance
arrow_back_ios

Main Menu

See All API See All Experimental Testing See All Electroacoustics See All Noise Source Identification See All Environmental Noise See All Sound Power and Sound Pressure See All Noise Certification See All Industrial Process Control See All Structural Health Monitoring See All Electrical Devices Testing See All Electrical Systems Testing See All Grid Testing See All High-Voltage Testing See All Vibration Testing with Electrodynamic Shakers See All Structural Dynamics See All Machine Analysis and Diagnostics See All Dynamic Weighing See All Vehicle Electrification See All Calibration Services for Transducers See All Calibration Services for Handheld Instruments See All Calibration Services for Instruments & DAQ See All On-Site Calibration See All Resources See All Software License Management

MaximoWorld: Maintenance Optimization and Asset Management Solutions

Maintenance optimization and asset management solutions from HBM Prenscia

HBM Prenscia sponsored and presented at the MaximoWorld 2019 Conference, August 6 - 8 in Orlando, Florida. If you missed our presentations, you can join us
on October 8th for a webinar on "ReliaSoft and IBM Maximo Integration: A Framework to Drive Asset Planning and Performance". Learn how ReliaSoft software products integrate with IBM Maximo and discover our practical, holistic framework that characterizes asset reliability behavior which uses this information to uncover insights on asset failure characteristics and their importance to the business. This approach delivers optimum maintenance strategies and plans, reliability performance, and remaining equipment life that are incorporated into IBM Maximo. The webinar will cover topics from RCM analysis and RAM simulation to reliability analytics and asset deterioration models and discuss how they fit together with IBM Maximo.

Download our MaximoWorld presentations

A Holistic Framework to Drive Asset Planning and Performance

Wednesday, August 7 (1pm - 1:45pm)
Presented by Adamantios Mettas, Vice President - Business Development and Kevin Knill, Director - Solutions Architecture, HBM Prenscia

Equipment Operators are continually faced with the questions: 

  1. What assets will fail?
  2. Do I care?
  3. What actions should I take?

In this presentation, you will learn how we use IBM Maximo and other sources to answer these questions. We will present a practical holistic framework that characterizes asset reliability behavior and then uses this information to uncover insights on asset failure characteristics and their importance to the business. This approach delivers optimum maintenance strategies and plans, reliability performance and equipment remaining life that are incorporated into IBM Maximo. The presentation will cover topics from RCM analysis to reliability analytics and asset deterioration models and how they fit together.

APM 4.0: A Pragmatic Roadmap

Thursday, August 8 (1pm - 1:45pm)
Presented by Adamantios Mettas, Vice President - Business Development, HBM Prenscia

The concept of APM 4.0 involves maximizing the use of data to drive proactive actions that are increasingly based on asset condition and operational usage severity, rather than intuition or sub-optimal time-based schedules (monthly, annual etc.) that often lead to unnecessary maintenance (and costs) or insufficient interventions before failure events. Techniques like inferential sensing and combining engineering models with machine learning at the analytical workflow level yields better results more consistently and even requires a lower start-up effort. This presentation is answering questions such as “Where do I start?” and outlines practical approaches in using data and proven reliability engineering methods along with advances in analytics, to manage asset performance more proactively.

 

Our solutions deliver optimum maintenance strategies and plans, reliability performance and equipment remaining life that are incorporated into IBM Maximo.   HBM Prenscia’s integrated tools and solutions will allow you to:

  • Use Maximo historical data to create reliability models and digital twins
  • Calculate key system parameters such as availability, downtime, maintenance costs, and failure rate to rank asset criticality
  • Optimize and quantify the impact of proposed maintenance strategies
  • Forecast failures over a fixed time interval
  • Perform scenario analysis and determine economic impact of recommended actions
  • Assess the number of spare parts to be purchased and calculate the cost of maintaining the system
  • Create asset deterioration models