For a Print Friendly brochure, click the link below. Risk ranked by extended operation beyond past overhaul intervalsĪdditional articles concerning the history of STRAP can be found by visiting STRAP – New Risk Based Analysis Tool.
Risk contribution ranked by equipment sub-components.Risk Ranking and Benchmarking of equipment against industry and other company equipment.The turbines had 471 historical failures (failure is an event that caused lost production). The units ranged in size from 600 HP to 890 MW with operating hours ranging from 8,000 to 340,000, and new to 62 years of operation. These results reflect 21 turbine OEM’s and 12 generator OEM’s. STRAP has been the subject of technical papers and presentations at numerous conferences (ASME, API, EPRI, NUSIS, PowerGen, SAE, TAPPI, and Turbomachinery), three different insurance companies, and one OEM.Īnalyses have been completed for over 330 steam turbines and 120 generators. STRAP was developed based on ASME’s Risk Based Inspection Guideline methodologies. STRAP then calculates the risk of that specific unit. These questions include information regarding operations and maintenance, construction and design, monitoring, steam chemistry, upgrades and spares, etc. These factors are applied to data acquired from questions that are answered for the specific turbine or generator.
M&m generator generator#
The program consists of algorithms that calculate risk (risk = probability of failure x consequence) for the steam turbine generator from the probabilities of failures, failure consequences, and engineering modifying factors included in the programs. STRAP is the culmination of this synergy of experience and data. The reliability and risk factors were developed from these attributes by drawing on the skills and experience of leaders in industry, M&M Engineering Associates’ failure analysis and risk assessment experience, and HSB’s decades of experience as an insurer of these machines. The resulting models and associated risk levels were then verified by comparison with similar units that have run longer intervals. The analyses of units of various makes and models were used to calibrate these factors.
These attributes were converted into risk modifying factors to facilitate the viewing of turbine and generator risks on a holistic basis. To what population would it be most appropriate to generalize the. M&M Engineering, HSB, and industry team experience was leveraged to establish what attributes are both important and necessary for a unit to achieve a longer time period between major outages and corresponding lower risk levels. Every day for a week, they use a random number generator to select 10 M&Ms and weigh them. M&M Engineering Associates partnered with The Hartford Steam Boiler Inspection and Insurance Company (HSB) and numerous rotating equipment experts in various industries (power generation, process (refinery, petrochemical, chemical products), forest products, manufacturing, and repair) to develop a risk assessment model for steam turbine-generators, known as STRAP, Steam Turbine Risk Assessment Program.
However, it will be hard to do that on Zoom. We would then use these numbers to compute various summary statistics and confidence intervals. In pre-pandemic times, each student would get a bag of M&Ms and would count the number of candies of each color in the bag. I need to build a website for a class experiment.