In many applications, identical IO-Link devices are used in close proximity to each other.
If one of these IO-Link devices has to be replaced, e.g. due to a defect, confusion can arise.
Digitalization & IIoT
SAMS components offer the possibility to connect internal digital or analog signals directly to the physical pins 2 and 4 of the connector.
This is helpful, for example, if the cycle time of the entire topology consisting of IO-Link cycle, network cycle and PLC cycle is too time-critical for certain signals and the signals need to be transferred faster for a smooth process.Read more
The P-F curve is often mentioned in condition monitoring and predictive maintenance discussions. “P-F” refers to the interval between the detection of a potential failure (P) and the occurrence of a functional failure (F).Read more
Overview of smart sensor functions & diagnostic options at components of the Smart Automation and Monitoring System SAMSRead more
Increasing the efficiency of machines and plants requires powerful, multifunctional solutions that provide data on the machine condition in addition to the machine control. With the condition monitoring information obtained from this the performance of each machine and thus of the entire plant can be optimizedRead more
In order to increase the utilization and overall system effectiveness of machine tools, the production engineers plan automation solutions for the automatic loading and unloading of workpieces in the CNC machining center or the CNC lathe. Machine tool builders offer appropriate automation equipment as an option when purchasing new machines.Read more
Out with the (c)old, in with the new Recently I needed to look into time-to-live (TTL) capabilities within ElasticSearch. It has been several years since I used this feature (version 1.5, to precise – aeons ago!) Unsurprisingly, things have changed significantly since. Instead of setting _ttl in the index mappingRead more
Introduction In an earlier article I mentioned briefly some possibilities for bringing python-trained machine learning models into production. Specifically, a java environment. In this article I will take a closer look at how this can done and what pitfalls we should avoid. Keras In the words of the Keras website,Read more
Introduction When we work with classification or regression models we are seeking to predict either a discrete value, or a value along a continuum. The accuracy of these models is implicit in the metric we use when training: either in the cost function during the actual training, or something likeRead more
Introduction Why Dask? For those of us who regularly work with python machine learning libraries, the Pandas DataFrame library is a firm fixture in our toolkit. Pandas DataFrames allow fast and efficient manipulation of data and a host of data wrangling functions. And the processing is fast because pandas doesRead more