search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Predictive maintenance & condition monitoring


failing? In answering these questions, it becomes clear that investing in advanced levels of condition monitoring technology often makes best sense when assets are remote or difficult to access. SKF has developed its compact, scalable


and adaptable Multilog IMx-8 in order to widen the user base for such systems. It can be wirelessly configured and monitored using mobile devices. In stand-alone mode, with no need for connection to central software or external communications, it will store a year’s worth of machine and event data, which is particularly beneficial for remote applications where routine site maintenance visits are infrequent, such as in the offshore and wind energy sectors. Moreover, following a critical event, data can be easily accessed for analysis. Based on the proven Multilog IMx-8, SKF


collection from those legacy machines. Manufacturers are increasingly retrofitting existing equipment with smart sensors that collect comprehensive data in real time. This data can then be passed to execution, production planning and enterprise resource planning (ERP) systems, which can exploit this to improve performance. As more manufacturers seek to make their legacy systems more intelligent, the market size for sensors and controllers has grown substantially and is projected to grow from $5.1 billion in 2016 to $6.1 billion by 2020, an increase of 19.6 per cent. The increased availability has also driven down cost for IoT sensors. Between 2004 and 2018, the average cost of a sensor dropped nearly 66 per cent from $1.30 to $0.44, making intelligent manufacturing more affordable and accessible for manufacturers of all sizes. The introduction of digital condition


monitoring is a case in point. The sophistication of condition monitoring systems has increased rapidly in recent decades. In the 1980s, microprocessors enabled the development of portable data collection devices, while in the 1990s, laptops emerged and software packages gave all computers better memory storage. In the 2000s, wireless data transfer arrived as the methods for reporting and analysing data grew more sophisticated. Now, condition monitoring systems are


exploiting the IoT, cloud computing, smart analytics, prognostics, big data, tablets, virtual and augmented reality and wearable devices to create comprehensive banks of information that can be used to increase productivity and efficiency. As such, demand for these systems is poised to explode. According to Mordor Intelligence, the global machine condition monitoring market was valued at $1872.2 million in 2017 and is expected to be worth $2529.7 million by 2023, growing by a compound annual growth rate (CAGR) of 35 per cent. Condition monitoring systems are surprisingly affordable, given the falling


Instrumentation Monthly October 2019 33


prices of systems and components that we have seen, and with the right specialist advice it is easy to avoid the unnecessary expense of overengineered solutions. Indeed, it is vital that the complexity, functionality and cost of condition monitoring systems be appropriate to users’ needs and circumstances. In short, manufacturers should only pay for the condition monitoring system they need and should certainly avoid trying to monitor everything. This can generate an unwieldy profusion of data with no applicable use. The purchase, installation and operating costs of each option must be weighed against its advantages. The importance of an asset is a key consideration. How expensive would it be to repair or replace? What are the potential costs of lost production through downtime? What are the safety implications of an asset


has further expanded its offering with the Multilog IMx-16Plus; a compact, competitively priced system that is flexible enough to be used across a broad spectrum of applications and industries. With the ability to monitor everything from a single machine to an entire plant from one, central location, the SKF Multilog IMx-16Plus integrates seamlessly with other devices to allow more extensive deployment. The increasing range of condition


monitoring options and the reduction in the prices of these systems, has opened up the field for predictive maintenance. Now all manufacturers – big or small – have a wide range of choices for building monitoring systems into their organisations in order to create smart factories for the future.


SKF www.skf.com


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82