Hallsta Paper Mill measures bearing condition with SPM HD

"Since April 2009, we have been engaged in a project together with SPM, where we have measured bearing condition on four of our twin wire presses with SPM HD® measuring technique. To maintain pulp quality, it is essential that these presses work properly. Any breakdowns also lead to major costs for damaged rolls."

"Over the years, we have tried a number of different measuring techniques on these presses, but SPM HD is the first one to detect developing bearing damages. The measuring technique is very reliable and has not generated any false alarms; every time the system has indicated damage, it has proven correct when we dismounted the bearing. The forewarning time has been as long as up to six months. The technique is easy to use and the measuring results are easily understood. Thanks to SPM HD, we have found six damaged bearings which we have been able to attend to through planned replacements." Per Ljungström, Preventive Maintenance Engineer, Hallsta Paper Mill

Download full case study

Case Study
Filename/description Language Size Modified
CS_002A_WirePress_Hallsta_SE.pdf Swedish (Sweden) 9 MB 5/7/2014
SPM HD Case Study Twin Wire Presses, Hallsta Paper Mill by Tim Sundström
CS_002B_WirePress_Hallsta_SE.pdf English (United Kingdom) 3 MB 5/7/2014
SPM HD Case Study Twin Wire Presses, Hallsta Paper Mill by Tim Sundström

Pulp and paper

Condition monitoring is a cornerstone in the asset management of pulp and paper plants. Having control of the operating condition is a must to optimize plant profitability.

Intellinova Standard

Intellinova® Standard is an online condition monitoring system where well-proven methods and modern technology meet to ensure the highest possible uptime of critical assets.

HD Technologies

High-definition condition monitoring technologies provide exceptional pre-warning times, maximizing the planning horizon for maintenance and repairs. In turn, this enables fully utilizing asset life, cutting repair costs, and minimizing the consequences of unplanned downtime.