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Components equipped with sensors are central to the drive systems used in machines and equipment.
Components equipped with sensors are central to the drive systems used in machines and equipment.

Condition monitoring: From Industry 4.0 to the 'dark factory'

While condition monitoring systems are continuing to prove their value in industrial applications, Ian Pledger explains that many companies are still unsure how CM should fit into their Industry 4.0 strategy and the automated ‘lights out’ factory.

Most process industry sectors today have implemented some sort of condition monitoring (CM) strategy or CM systems within their process plant, even if it’s just CM for process-critical rotating equipment and machines.

The sectors that seem to be adapting best to CM are those that cannot afford the high costs associated with production downtime, perhaps due to unforeseen machine breakdowns. These sectors include metal processing, paper mills, mining, quarrying and cement, and power generation (including the generation of energy from waste).

Outside of the process industries, discreet manufacturers in the automotive, aerospace, wind power and rail industries are also benefitting from the implementation of CM systems. In fact, any business that utilises electric motors, gearboxes, air compressors, fans, conveyors and pumps can benefit from CM services. In recent years, the bearings manufacturer Schaeffler Group has provided vibration monitoring services to the health sector where heating, ventilation and air conditioning systems in blood storage facilities need to be monitored on a continuous 24/7 basis.

Measuring vibration is one of the most widely used CM techniques for detecting and diagnosing equipment faults. Vibration monitoring systems are among the most reliable methods for monitoring the condition of rolling bearings and for detecting the early onset of damage to bearings and other machine components. Schaeffler has many years of experience as a manufacturer of bearings, and a provider of CM systems and vibration analysis expertise.

Most CM systems to date have been used as local systems, collecting vibration data from machines and using analysis algorithms and a rolling bearing database to check for signs of wear, defects or other unusual behaviour. While this works very well for many companies, it is now possible to share and compare local machine condition data, via the cloud, with other similar items of equipment across a plant, or better still, with other equipment at multiple plants within a business, wherever they are located globally.

The Schaeffler SmartCheck offers a suitable platform for managing and processing “big data”.
The Schaeffler SmartCheck offers a suitable platform for managing and processing “big data”.
The Smart QB online monitoring system notifies operators of changes to equipment condition.
The Smart QB online monitoring system notifies operators of changes to equipment condition.

Skills, Knowledge, Experience

The latest cloud-capable CM systems, such as Schaeffler’s Smart QB and SmartCheck, offer a suitable platform for managing and processing “Big Data”. These CM systems are quick and easy to install and set up, with the user requiring no specific skills or knowledge of vibration diagnosis.

With the Smart QB fixed online monitoring system, when changes occur in the condition of the equipment, the system automatically generates plain text messages on a display, providing the user with clear instructions for action, enabling any corrective maintenance work to be undertaken and any replacement parts to be ordered if required. These “automatic fault assessment” CM systems are ground-breaking, as they do not require specifically trained vibration experts to analyse the data.

With ready to use, pre-set measurement configurations, these CM systems are helping users identify the main causes of faults, eg bearing damage, imbalance and temperature increases. For general changes in vibration patterns that cannot be clearly attributed to one of the above, the CM system can request, via the cloud, additional analyses from a specialist.

The advantages are that analysis can now be carried out anywhere at any time, with the expert being located anywhere in the world within a company or externally. Similar equipment can be compared across global manufacturing plants, to compare and/or develop trends.

Enablers for digital services

Components such as bearings are used in important parts of plant and machines, which produce critical information about conditions and movements. Schaeffler is continuing to invest heavily in research and development and has incorporated sensors, actuators and control units with embedded software into its products including rolling bearings and linear guidance systems. With these new digitalised, Industry 4.0 technologies, it is now possible for these products to collect and process valuable data on the condition of a machine or process and then convert this data into added value services.

The cloud-capable SmartCheck CM device, for example, allows a simple and flexible point of entry into the digitalisation of machines and equipment based on vibration monitoring.

The Smart QB fixed online monitoring system automatically generates plain text messages on a display, providing the user with clear instructions for action.
The Smart QB fixed online monitoring system automatically generates plain text messages on a display, providing the user with clear instructions for action.

Components equipped with sensors are central to the drive systems used in machines and equipment – they record data and are the fundamental “enablers” of these digital services. Schaeffler’s aim is to continuously transform conventional mechanical products such as bearings and integrate these into the digital world. This represents an important step towards a future in which not only complex systems but also simple assemblies and machines will have easy access to digitalisation and the Internet of Things (IoT).

The recorded vibration data from bearings can now be transferred via a flexible Schaeffler gateway to the cloud, where the company’s rolling bearing domain expertise is made usable in the form of digital services. For example, automated rolling bearing diagnosis and “remaining useful life calculations” can be used to provide precise information on the condition of the bearing and therefore of the machine or process being monitored, which in turn allows specific actions to be recommended. It will even be possible to use actual load data to adjust to operational machine processes in real time.

But what are the implications for the workforce? Over the next decade, engineers will spend less time diagnosing faults on machines and process plant, as this data will be collected and reported on automatically using smart CM systems. Collected CM data can be provided in a format suitable for whoever needs to see it within the business or global group. Different process engineers, maintenance staff, machine operators and senior plant managers will cherry pick what information they need from this pool of machine and process data and use it as they see fit to make improvements to processes, machine efficiencies and ultimately business profit.

There are some drawbacks to implementing modern CM systems but these should not prevent companies investing in CM. The cost of the CM system itself and its implementation can appear relatively high at first. However, the cost of implementation is likely to decrease over the coming years as these systems become easier and faster to install, and less costly to develop in the first place. As CM technologies mature, the price of CM systems will decrease. Small, affordable CM devices such as the SmartCheck are already making investment payback periods significantly shorter.

Lights out

We could eventually see a “dark factory” situation emerging, whereby machines, automated plant and robots carry out all their work in an energy efficient, “lights out” scenario, and there is little or no human intervention required, except when a CM alarm limit on a machine or process is reached, new raw material is required for the process, or a machine breakdown occurs.

Industry 4.0 and the IoT will continue to drive the way CM technologies are developed. CM will remain at the forefront of fault diagnosis.

Article courtesy of Quarry Management (UK). Visit agg-net.com











ABOUT THE AUTHOR
Ian Pledger

Ian Pledger is a service engineer at Schaeffler UK.

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Tuesday, 16 July, 2019 2:30pm
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