[{"data":1,"prerenderedAt":567},["ShallowReactive",2],{"site-footer-common":3,"glossary:mtbf":45,"glossary-related:mtbf":175},{"id":4,"extension":5,"footer":6,"meta":40,"navbar":41,"stem":43,"__hash__":44},"common\u002Fcommon.yml","yml",{"tagline":7,"links":8,"sections":9},"Acoustic cleaning intelligence for industrial fouling, soot, ash, dust and build-up.",[],[10,19,31],{"title":11,"links":12},"Product",[13,16],{"label":14,"to":15},"How it works","\u002F#product",{"label":17,"to":18},"Cost assessment","\u002F#hero",{"title":20,"links":21},"Company",[22,25,28],{"label":23,"to":24},"What we build","\u002F#about",{"label":26,"to":27},"Careers","\u002F#careers",{"label":29,"to":30},"Contact","\u002F#contact",{"title":32,"links":33},"Resources",[34,37],{"label":35,"to":36},"Blog","\u002Fresources\u002Fblog",{"label":38,"to":39},"Glossary","\u002Fglossary",{},{"links":42},[],"common","YocmZRy1AYfBbpgGVms-zhdiABlF8VTxHx6h4rDmZBA",{"id":46,"title":47,"aliases":48,"body":51,"category":155,"description":156,"extension":157,"meta":158,"navigation":159,"path":160,"relatedTerms":161,"seo":165,"sources":168,"stem":172,"term":173,"__hash__":174},"glossary\u002Fglossary\u002Fmtbf.md","MTBF (Mean Time Between Failures)",[49,50],"MTBF","mean time between failures",{"type":52,"value":53,"toc":148},"minimark",[54,61,66,69,102,106,124,128],[55,56,57,60],"p",{},[58,59,47],"strong",{}," is the average operating time between failures of repairable equipment. It is the headline reliability metric for industrial maintenance planning and a standard input to availability calculations.",[62,63,65],"h2",{"id":64},"where-mtbf-matters-in-cleaning","Where MTBF matters in cleaning",[55,67,68],{},"Cleaning practice directly affects the MTBF of downstream equipment:",[70,71,72,81,88,95],"ul",{},[73,74,75,76],"li",{},"Heavy steam-sootblower use shortens MTBF on the cleaned tubes by accelerating ",[77,78,80],"a",{"href":79},"\u002Fglossary\u002Ftube-erosion-tube-wastage","tube erosion",[73,82,83,87],{},[77,84,86],{"href":85},"\u002Fglossary\u002Fesp-rapper","ESP rapper"," breakage from sustained use shortens MTBF on rapper hardware",[73,89,90,94],{},[77,91,93],{"href":92},"\u002Fglossary\u002Fair-cannon-air-blaster","Air cannons"," on silos can shorten MTBF on silo welds from fatigue",[73,96,97,101],{},[77,98,100],{"href":99},"\u002Fglossary\u002Fsonic-horn","Sonic horns",", being non-contact and low-impact, have minimal MTBF impact on the cleaned equipment",[62,103,105],{"id":104},"sonic-horn-mtbf-itself","Sonic-horn MTBF itself",[55,107,108,109,113,114,118,119,123],{},"Sonic horns are mechanically simple — usually a ",[77,110,112],{"href":111},"\u002Fglossary\u002Fdiaphragm-horn","diaphragm"," or piston-whistle driver, a ",[77,115,117],{"href":116},"\u002Fglossary\u002Fsolenoid-valve","solenoid valve",", and the bell horn. Typical MTBF of the horn assembly itself is 3–5 years of continuous duty before ",[77,120,122],{"href":121},"\u002Fglossary\u002Fdiaphragm-replacement-sonic-horn","diaphragm replacement",", with broader rebuild intervals beyond.",[62,125,127],{"id":126},"related-terms","Related terms",[70,129,130,136,142],{},[73,131,132],{},[77,133,135],{"href":134},"\u002Fglossary\u002Favailability-factor","Availability factor",[73,137,138],{},[77,139,141],{"href":140},"\u002Fglossary\u002Fforced-outage","Forced outage",[73,143,144],{},[77,145,147],{"href":146},"\u002Fglossary\u002Fpredictive-maintenance","Predictive maintenance (PdM)",{"title":149,"searchDepth":150,"depth":150,"links":151},"",2,[152,153,154],{"id":64,"depth":150,"text":65},{"id":104,"depth":150,"text":105},{"id":126,"depth":150,"text":127},"kpis-measurements","MTBF (Mean Time Between Failures) is the average operating time between failures of repairable equipment. It is the headline reliability metric for industrial maintenance planning and a standard input to availability calculations.","md",{},true,"\u002Fglossary\u002Fmtbf",[162,163,164],"availability-factor","forced-outage","predictive-maintenance",{"title":166,"description":167},"MTBF (Mean Time Between Failures) — reliability metric for repairable equipment","MTBF is the average time between failures of repairable equipment. The headline reliability metric for industrial maintenance planning.",[169],{"title":170,"url":171},"Wikipedia — Mean time between failures","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FMean_time_between_failures","glossary\u002Fmtbf","Mean Time Between Failures","Do5tMo-LwIK5CZgmavKplALqZX1OkNtbqziUF8cfDCs",[176,326,471],{"id":177,"title":135,"aliases":178,"body":181,"category":155,"description":312,"extension":157,"meta":313,"navigation":159,"path":134,"relatedTerms":314,"seo":317,"sources":320,"stem":324,"term":135,"__hash__":325},"glossary\u002Fglossary\u002Favailability-factor.md",[179,180],"availability","plant availability",{"type":52,"value":182,"toc":307},[183,188,192,270,274,289,291],[55,184,185,187],{},[58,186,135],{}," is the percentage of total hours in a period (typically a year, 8,760 hours) during which a plant is available to operate, whether or not it actually does. It is calculated as (total period hours − unavailable hours) \u002F total period hours, where \"unavailable\" includes both planned and forced outages.",[62,189,191],{"id":190},"typical-industrial-availability","Typical industrial availability",[193,194,195,208],"table",{},[196,197,198],"thead",{},[199,200,201,205],"tr",{},[202,203,204],"th",{},"Sector",[202,206,207],{},"Typical availability",[209,210,211,220,228,239,247,259],"tbody",{},[199,212,213,217],{},[214,215,216],"td",{},"Coal-fired utility",[214,218,219],{},"80–88%",[199,221,222,225],{},[214,223,224],{},"Combined-cycle gas turbine",[214,226,227],{},"90–95%",[199,229,230,236],{},[214,231,232],{},[77,233,235],{"href":234},"\u002Fglossary\u002Fwaste-to-energy","Waste-to-energy",[214,237,238],{},"85–92%",[199,240,241,244],{},[214,242,243],{},"Cement plant kiln",[214,245,246],{},"88–94%",[199,248,249,256],{},[214,250,251,252],{},"Refinery ",[77,253,255],{"href":254},"\u002Fglossary\u002Ffluid-catalytic-cracking","FCC",[214,257,258],{},"95%+ (4-year turnaround cycle)",[199,260,261,267],{},[214,262,263],{},[77,264,266],{"href":265},"\u002Fglossary\u002Frecovery-boiler","Pulp mill recovery boiler",[214,268,269],{},"90–96%",[62,271,273],{"id":272},"why-availability-matters","Why availability matters",[55,275,276,277,280,281,284,285,288],{},"Every percentage point of availability translates directly to revenue for a tipping-fee-driven ",[77,278,279],{"href":234},"WtE"," plant, a cement plant constrained by clinker output, or a recovery-boiler-limited pulp mill. Cleaning systems that defer ",[77,282,283],{"href":140},"forced outages"," are central to availability defence — ",[77,286,287],{"href":99},"sonic horns"," installed for fouling control protect availability against the most common cleaning-related outage causes.",[62,290,127],{"id":126},[70,292,293,299,303],{},[73,294,295],{},[77,296,298],{"href":297},"\u002Fglossary\u002Fcapacity-factor","Capacity factor",[73,300,301],{},[77,302,141],{"href":140},[73,304,305],{},[77,306,49],{"href":160},{"title":149,"searchDepth":150,"depth":150,"links":308},[309,310,311],{"id":190,"depth":150,"text":191},{"id":272,"depth":150,"text":273},{"id":126,"depth":150,"text":127},"Availability factor is the percentage of total hours in a period (typically a year, 8,760 hours) during which a plant is available to operate, whether or not it actually does. It is calculated as (total period hours − unavailable hours) \u002F total period hours, where \"unavailable\" includes both planned and forced outages.",{},[315,163,316],"capacity-factor","mtbf",{"title":318,"description":319},"Availability factor — percentage of time a plant is available to operate","Availability factor is the percentage of total hours that a plant is available to generate, whether or not it actually does. Distinguishes equipment readiness from market dispatch.",[321],{"title":322,"url":323},"Wikipedia — Availability factor","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FAvailability_factor","glossary\u002Favailability-factor","yfvmet8u9_2svfJtk9NnZ2BnFizIXUrDRvQ-TQxm2r8",{"id":327,"title":141,"aliases":328,"body":332,"category":455,"description":456,"extension":157,"meta":457,"navigation":159,"path":140,"relatedTerms":458,"seo":462,"sources":465,"stem":469,"term":141,"__hash__":470},"glossary\u002Fglossary\u002Fforced-outage.md",[329,330,331],"unplanned outage","forced shutdown","emergency shutdown",{"type":52,"value":333,"toc":450},[334,346,350,353,379,383,419,424,426],[55,335,336,337,340,341,345],{},"A ",[58,338,339],{},"forced outage"," is an unplanned shutdown of an industrial unit, triggered by equipment failure (typically ",[77,342,344],{"href":343},"\u002Fglossary\u002Fboiler-tube-failure","boiler tube failure",") or by pressure-vessel safety conditions that cannot be tolerated in continued operation. Forced outages are tracked as a percentage of operating hours (forced outage rate, FOR) and contrast with planned outages scheduled in advance.",[62,347,349],{"id":348},"economic-cost","Economic cost",[55,351,352],{},"Forced outages dominate the economic cost of poor cleaning practice:",[70,354,355,361,367,373],{},[73,356,357,360],{},[58,358,359],{},"Coal-fired utility (500 MW)"," — typically $0.5–1.5 million per day of forced outage, depending on power-market price",[73,362,363,366],{},[58,364,365],{},"WtE plant (40 MW + tipping-fee revenue)"," — $0.3–0.7 million per day including lost gate fees",[73,368,369,372],{},[58,370,371],{},"Pulp-mill recovery boiler"," — typically $0.4–1.0 million per day of mill production interruption",[73,374,375,378],{},[58,376,377],{},"Cement plant (5,000 t\u002Fday)"," — $300–600k per day of lost clinker",[62,380,382],{"id":381},"fouling-driven-forced-outages","Fouling-driven forced outages",[70,384,385,392,399,406,412],{},[73,386,387,391],{},[77,388,390],{"href":389},"\u002Fglossary\u002Fesp-hopper","ESP hopper pluggage"," forcing the field offline",[73,393,394,398],{},[77,395,397],{"href":396},"\u002Fglossary\u002Fdifferential-pressure-baghouse","Baghouse ΔP"," tripping the ID fan",[73,400,401,405],{},[77,402,404],{"href":403},"\u002Fglossary\u002Fkiln-inlet-ring-snowman","Cement kiln-inlet snowmen"," requiring manual cleaning",[73,407,408,411],{},[77,409,410],{"href":265},"Recovery boiler superheater pluggage"," demanding chill-and-blow",[73,413,414,418],{},[77,415,417],{"href":416},"\u002Fglossary\u002Fheat-recovery-steam-generator","HRSG ΔP"," excursion derating the gas turbine",[55,420,421,423],{},[77,422,100],{"href":99}," attack the root cause — early fouling — before it reaches the level that forces outages.",[62,425,127],{"id":126},[70,427,428,433,439,445],{},[73,429,430],{},[77,431,432],{"href":343},"Boiler tube failure",[73,434,435],{},[77,436,438],{"href":437},"\u002Fglossary\u002Ffouling","Fouling",[73,440,441],{},[77,442,444],{"href":443},"\u002Fglossary\u002Fderate-capacity","Derate (capacity)",[73,446,447],{},[77,448,449],{"href":99},"Sonic horn",{"title":149,"searchDepth":150,"depth":150,"links":451},[452,453,454],{"id":348,"depth":150,"text":349},{"id":381,"depth":150,"text":382},{"id":126,"depth":150,"text":127},"fouling","A forced outage is an unplanned shutdown of an industrial unit, triggered by equipment failure (typically boiler tube failure) or by pressure-vessel safety conditions that cannot be tolerated in continued operation. Forced outages are tracked as a percentage of operating hours (forced outage rate, FOR) and contrast with planned outages scheduled in advance.",{},[459,455,460,461],"boiler-tube-failure","derate-capacity","sonic-horn",{"title":463,"description":464},"Forced outage — unplanned shutdown of an industrial unit","A forced outage is an unplanned shutdown of an industrial unit, typically triggered by equipment failure or pressure-vessel safety conditions. The dominant economic cost of poor cleaning practice.",[466],{"title":467,"url":468},"POWER Magazine — Update: Benchmarking Boiler Tube Failures","https:\u002F\u002Fwww.powermag.com\u002Fupdate-benchmarking-boiler-tube-failures\u002F","glossary\u002Fforced-outage","-h5oCd37HtewUqUSSzf-rNasA7zS77_rdx5umhPLH0Y",{"id":472,"title":147,"aliases":473,"body":477,"category":551,"description":552,"extension":157,"meta":553,"navigation":159,"path":146,"relatedTerms":554,"seo":557,"sources":560,"stem":564,"term":565,"__hash__":566},"glossary\u002Fglossary\u002Fpredictive-maintenance.md",[474,475,476],"PdM","predictive maintenance","condition-based maintenance",{"type":52,"value":478,"toc":547},[479,484,488,491,522,528,530],[55,480,481,483],{},[58,482,147],{}," schedules service based on actual equipment-condition signals — vibration, temperature, acoustic output, oil analysis — rather than fixed time-based intervals. PdM reduces unnecessary maintenance, defers replacements until they are really needed, and gives advance warning of impending failures.",[62,485,487],{"id":486},"pdm-for-sonic-horns","PdM for sonic horns",[55,489,490],{},"PdM is increasingly applied to sonic-horn cleaning systems:",[70,492,493,504,510,516],{},[73,494,495,498,499,503],{},[58,496,497],{},"Acoustic-output monitoring"," — a microphone or in-line pressure transducer trends the horn's ",[77,500,502],{"href":501},"\u002Fglossary\u002Fsound-pressure-level","SPL"," over time",[73,505,506,509],{},[58,507,508],{},"Air-consumption monitoring"," — flow meters detect changes in horn behaviour",[73,511,512,515],{},[58,513,514],{},"Firing-count tracking"," — cumulative cycle count for diaphragm-life prediction",[73,517,518,521],{},[58,519,520],{},"Cycle-time analysis"," — slower or faster diaphragm action signals component drift",[55,523,524,525,527],{},"Trend analysis flags the gradual SPL drift that signals impending ",[77,526,122],{"href":121},", allowing maintenance to be scheduled into a routine outage rather than triggered by a sudden failure.",[62,529,127],{"id":126},[70,531,532,538,542],{},[73,533,534],{},[77,535,537],{"href":536},"\u002Fglossary\u002Freliability-centred-maintenance","Reliability-centred maintenance (RCM)",[73,539,540],{},[77,541,49],{"href":160},[73,543,544],{},[77,545,546],{"href":121},"Diaphragm replacement (sonic horn)",{"title":149,"searchDepth":150,"depth":150,"links":548},[549,550],{"id":486,"depth":150,"text":487},{"id":126,"depth":150,"text":127},"controls-ancillaries","Predictive maintenance (PdM) schedules service based on actual equipment-condition signals — vibration, temperature, acoustic output, oil analysis — rather than fixed time-based intervals. PdM reduces unnecessary maintenance, defers replacements until they are really needed, and gives advance warning of impending failures.",{},[555,316,556],"reliability-centred-maintenance","diaphragm-replacement-sonic-horn",{"title":558,"description":559},"Predictive maintenance (PdM) — condition-driven maintenance based on equipment health monitoring","Predictive maintenance schedules service based on actual equipment-condition signals rather than fixed time intervals. Increasingly applied to sonic-horn cleaning systems via SPL trend monitoring.",[561],{"title":562,"url":563},"Wikipedia — Predictive maintenance","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPredictive_maintenance","glossary\u002Fpredictive-maintenance","Predictive maintenance","lKLGnLTMOyr31NvaXRhVW51nqElM-RzUyGHTgSw_OFM",1782613745541]