Register Here To View: How to Use Condition Based Analysis to Solve Your Equipment Failures

Please complete the form to continue. By completing this form, you are acknowledging that your information will be captured by CBM CONNECT, Mobius Institute, and the Webinar Sponsor.

• Name*
  First Last
• Email*
  Enter Email Confirm Email
• Company Name*
• Job Title*
• Address*
  Street Address Address Line 2 City State / Province / Region ZIP / Postal Code AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCabo VerdeCambodiaCameroonCanadaCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands Country
• Name
  This field is for validation purposes and should be left unchanged.

Δ

Webinar Description:

We live in challenging times. This is particularly true in the predictive maintenance world, and acutely true in the area of vibration analysis. Today, most manufacturing sites have active reliability programs in place with the means of measuring plant performance and processes to find and correct repetitive problems that effect plant uptime. While this is a positive development, it is also true that vibration analysis programs, which help provide the data necessary to achieve these results, find themselves understaffed as a result of attrition and retirements. Much to the surprise of plant management, these positions are not easily filled and yet the routes need to be done, the data from these routes needs to be analyzed, and the report needs to be written.  The result is that reliability engineers are faced with the question “How do I get the data?” A method to help with this dilemma, that has gained popularity recently, is to employ detection technology to these assets as a way of monitoring their condition while eliminating the need to run frequent data collection routes on them.

Learning Takeaways

1. Not all equipment fails in the same way. Understanding the different ways that these machines fail helps us determine how to monitor them.
2. Recent technology has given us more options for monitoring machines.
3. Staffing issues need not affect our ability to improve reliability.

About the Presenter

Bob Martin is a field applications engineer for IMI Sensors. He is a CMRP and a Category Three Certified Vibration Analyst. Bob has been helping establish and support companies with their predictive maintenance programs for over 25 years. His experience with spectrum analysis extends back over 40 years beginning with his work in the US Navy as an anti-submarine warfare systems operator, flying as aircrew, on P-3 Orion patrol aircraft.