Main­te­nance Mat­ters

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Main­te­nance prac­tices have been con­tin­u­ally de­vel­op­ing and the last decade has seen the most sig­nif­i­cant changes from digi­ti­sa­tion of main­te­nance. The re­sult of this is large amounts of data be­ing cre­ated along with main­te­nance tasks.

Con­di­tion mon­i­tor­ing is be­ing used widely within in­dus­try to de­ter­mine the health of ma­chin­ery while in op­er­a­tion. The key to a suc­cess­ful con­di­tion mon­i­tor­ing pro­gramme in­volves know­ing what to lis­ten for, how to in­ter­pret it and when to put this knowl­edge to use. SKF of­fers a range of so­lu­tions to as­sist in col­lect­ing vi­bra­tion data.

BA­SIC HAND­HELD TOOLS

SKF hand­held con­di­tion mon­i­tor­ing tools, such as the SKF Ma­chine Con­di­tion Ad­vi­sor, put the ben­e­fits of con­di­tion-based main­te­nance within reach for ex­perts and novices alike. This ba­sic equip­ment range al­lows users to spot-check crit­i­cal ma­chines and es­tab­lish trends needed to iden­tify prob­lems early on, be­fore they re­sult in costly down­time.

POR­TA­BLE DATA COL­LEC­TORS AND ANALYSERS

The SKF Mi­crolog se­ries of por­ta­ble data col­lec­tors and analysers can han­dle all tasks needed to per­form pre­dic­tive main­te­nance and on the spot anal­y­sis of ro­tat­ing ma­chin­ery. Units in the se­ries are sup­ported by SKF @pti­tude soft­ware.

ON­LINE SUR­VEIL­LANCE AND PRO­TEC­TION

The SKF Mul­tilog se­ries of on­line mon­i­tor­ing sys­tems use per­ma­nently in­stalled sen­sors to alert plant per­son­nel to de­te­ri­o­rat­ing ma­chine con­di­tion changes and are ideal for crit­i­cal equip­ment or equip­ment that is un­safe or in hard-to-reach lo­ca­tions.

SKF Mul­tilog On­line Sys­tem IMx is a key com­po­nent in an ad­vanced con­di­tion mon­i­tor­ing sys­tem, of­fer­ing a ro­bust mea­sure­ment unit de­signed for tough in­dus­trial en­vi­ron­ments. De­pend­ing on the spe­cific needs, a range of SKF Mul­tilog IMx mod­els are avail­able with up to 32 ana­logue sig­nal in­puts. The dy­namic sig­nal in­puts are con­fig­urable for a va­ri­ety of pa­ram­e­ters, such as ac­cel­er­a­tion, ve­loc­ity, dis­place­ment and other in­puts can eas­ily be added. Ad­di­tion­ally, up to 16 dig­i­tal chan­nels are also in­cluded which may be used for mea­sur­ing speed, as a trig­ger, or dig­i­tal sta­tus, such as in­di­cat­ing when a mea­sure­ment can take place. Sev­eral mea­sure­ment points may be at­tached to one chan­nel and both AC and DC mea­sure­ments can be mea­sured on the same chan­nel.

The unit’s unique built-in hard­ware also auto-di­ag­no­sis the sys­tem and con­tin­u­ously checks all sen­sors, ca­bling, and elec­tron­ics for any faults, sig­nal in­ter­rup­tion, shorts or power fail­ure with sys­tem alarms are au­to­mat­i­cally gen­er­ated for any prob­lems found.

SOFT­WARE

In or­der to make use of the vast amount of in­for­ma­tion gen­er­ated, the SKF Mul­tilog sys­tems trans­mit the data col­lected from the ac­celerom­e­ters to the SKF @pti­tude Mon­i­tor­ing Suite which con­sists of three mod­ules – An­a­lyst, In­spec­tor and Ob­server. These form the ba­sis for a com­pletely in­te­grated ap­proach to con­di­tion mon­i­tor­ing, per­mit­ting fast, ef­fi­cient and re­li­able stor­age, ma­nip­u­la­tion and re­trieval of large amounts of com­plex ma­chine and plant in­for­ma­tion. This pow­er­ful soft­ware ac­cepts data from the full range of SKF data col­lec­tion de­vices and in­ter­faces with SKF @pti­tude De­ci­sion Sup­port to fa­cil­i­tate con­sis­tent and re­li­able de­ci­sion mak­ing.

The SKF @pti­tude De­ci­sion Sup­port sys­tem en­hances your team’s abil­ity to keep plant ma­chin­ery up and run­ning. It sys­tem­a­tises the re­li­a­bil­ity main­te­nance de­ci­sion-mak­ing process by au­to­mat­i­cally iden­ti­fy­ing prob­a­ble faults with an as­set or process, then pre­scrib­ing ap­pro­pri­ate ac­tion, and en­abling a con­sis­tent method­ol­ogy among em­ploy­ees through­out your lo­cal or global or­gan­i­sa­tion. @pti­tude en­ables your work­force to rapidly de­ter­mine what is the prob­lem, how se­ri­ous it is, what should be done about it and what the po­ten­tial risks to pro­duc­tiv­ity, qual­ity, worker safety and the en­vi­ron­ment are.

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