ifm Subsidiary Selection
Europe
America
Asia/Pacific
Africa
Language
Language
  • English
Trade partners
You probably do not come from: United Kingdom. If necessary, change to: United States
News Career Sustainability Contact
Supply Chain
Service hotline 0208 213 2222
  1. moneo IIoT platform
  2. Improve manufacturing processes

Eliminate unplanned downtime due to equipment failures

Availability losses include unplanned stops, e.g.equipment failures, and planned stops e.g. machine setup  and recipe changeover time. Using real-time maintenance (RTM) technologies in your production plants increases machine availability, ensures throughput and minimises material losses.

moneo is an Industry 4.0 software platform. The integrated algorithms enable predictive maintenance for many critical industrial machines and convert your sensor data into valuable insights Receive notifications prior to a machine failure, so you can plan preventive maintenance work in advance.

Predict common fault conditions

Effects (crashes)

  • Hitting rotor blades
  • Ingested object / collision with moving object
  • Incorrect sequence timing

Friction

  • Bearing failure
  • Impeller rubbing/rotor blade dragging
  • Cavitation

Mechanical fatigue

  • Misalignment/ unbalance
  • Belt issues
  • Loose foundations/structural problems

Temperature (overheating)

  • Loss of lubricant or coolant flow
  • Electrical issues or excessive load

Increase machine availability with

Predictability

Your  production equipment is available as planned.

Process stability

Your cycle times are never affected by damaged machines.

Self-monitoring

Your production systems automatically detect and report quality defects.

The evolution of maintenance technology

Übersicht Grafik/Tabelle - Die Evolution der Instandhaltungstechnologie


Reactive


Predictive


Condition-based


Proactive with root cause investigation

Advantage

No time needed for planning

No unexpected disruptions or failures
  • Detection of errors through fault detection
  • Alert- and event-based triggers
  • Improved use of maintenance resources
  • Recommendations for action on what needs to be repaired and maintained
  • Maintenance orders can be planned
  • Reduction of spare parts inventory

How?

Maintenance if defects occur [repair in this case?]

Scheduling regular inspections using expert knowledge of the machines

Condition data must be evaluated by a specialist before action is taken
  • Real-time data collection
  • Automated root cause analysis as per machine pool
  • Digital process for executing work orders

Technology

Repair tools

Repair tools and computerised maintenance management system
  • Vibration, temperature and oil quality sensors
  • Visualisation and notification software

Smart sensors, edge processing, machine learning algorithms, cloud architecture

Please note
  • Unplanned downtime
  • Loss of production efficiency
  • High-pressure work environment
  • High cost of time and labour
  • Reduces added value of labour
  • Investments in hardware and integration
  • Expertise and experience in evaluating condition data

Investments in hardware and integration

Real-time condition monitoring with
 moneo Cloud

moneo provides recommendations for action

Real-time maintenance (RTM) dashboard in moneo

RTM protects against failures due to bearing damage.

Example of a basic set-up

Components Description


VVB vibration sensors

Vibration is the most important measure of mechanical condition

  • Excessive vibration indicates defects in the design of the device.
  • Excessive vibration indicates mechanical problems.
  • Think of excessive vibration as energy loss suffered by the compressor while doing its job.


TS RTDs and TR temperature sensors

Temperature is another indicator of energy loss

  • It indicates increased machine working rate.
  • Excessive heat indicates overload, mechanical friction, electrical problems, or loss of lubricant/coolant.



IO-Link master

Data acquisition via IO-Link for standard PLC controller or data transfer to OT/IT systems

  • Automatic device replacement to minimise the need for on-site parameter setting
  • Fast and accurate measurements for maximum process control
  • No scaling required for IO-Link sensors



moneo edgeGateway

Cloud connection for all IO-Link masters and vibration controllers

  • Recording of up to 500 process values
  • Remote control, alarms and visualisations
  • Functions include configuration, data collection and condition monitoring

Improve machine availability

Maximum performance, minimum downtime: here is how to optimise machine availability

Want to ensure machine availability while simultaneously monitoring plant conditions? The following use cases will show you how moneo usefully monitors automated plants and machine conditions and ensures machine availability – quickly and easily!

Improve machine availability

These topics might also be interesting for you:

Connect data from plant floor

In the age of Industry 4.0, connectivity is necessary to realising the full potential of your production capabilities.

Transform data into information

Our no-code IIoT platform seamlessly connects to a variety of industrial sensors, machines and controllers.

Get actionable insights

In Industry 4.0, gaining practical insights from the extensive amounts of data from connected devices is crucial.