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Today’s requirements

Ever-growing cost pressure and

increasingly tougher competition,

internationalization and globalization

affect engineering just like many

other sectors. In the production and

processing industries, these challenges

increasingly throw operating costs

under the spotlight, as machines

are generally operated over decades

rather than just a few years. As

a result, operating costs quickly

outweigh procurement costs: over

an observation period of ten years,

operating costs are often found to be

already five to ten times higher than

investment costs.

Considering costs in their entirety

To achieve a cost-efficient machine,

machine builders and operators should

therefore consider the costs incurred

over the machine life cycle in their

entirety. This approach includes not

just procurement and installation

costs, but also energy costs. Reducing

energy consumption is not just

practical for commercial reasons, but

also for compliance considerations:

legal regulations are increasingly

focusing on this subject. Furthermore,

increasing energy efficiency protects

available environmental resources. In

order to achieve the aim of reducing

energy consumption and increasing

energy efficiency, the energy flows to

the entire machine and the energy

consumption in the individual machine

parts and components should be

recorded, analyzed and then optimized.

An important instrument in this respect

is a systematic power management

system.

Preventing downtimes

Another considerable cost factor in the

life cycle of a machine is the cost of

servicing and maintenance – and in

the worst case, the costs of production

downtimes. As a result, condition

monitoring (or status monitoring) is

becoming increasing important. This

approach can not only ensure the

reliable operation of the machine, but

can also sometimes increase efficiency.

The monitoring is based on recording

the machine status at regular intervals

or on a continual basis by measuring

and analyzing physical parameters

such as motor current, temperature,

fill levels or ambient data. But in

today’s competitive environment, it is

usually no longer enough to simply

react to faults. For just one machine,

the costs of production downtime,

troubleshooting and fault correction

add up quickly. Predictive (or

preventative) maintenance therefore

plays an ever more important role in

Intelligent wiring brings data transparency

to the plant

Heribert Einwag

32 l New-Tech Magazine Europe