arrow_back_ios

Main Menu

See All Simulazione di analisi See All DAQ See All API per i driver See All Utilità See All Controllo delle vibrazioni See All Taratura See All DAQ See All palmare See All Industriale See All Analizzatori di potenza See All Condizionatori di segnale See All Acustica See All Tensione corrente See All Spostamento See All Forza See All Load Cells See All Multi Component See All Pressure See All Strain See All Estensimetri See All Temperature See All Tilt See All Torque See All Vibration See All Accessories See All Controllers See All Measurement Exciters See All Modal Exciters See All Power Amplifiers See All Shaker Systems See All Test Solutions See All Actuators See All Combustion Engines See All Durability See All eDrive See All Production Testing Sensors See All Transmission Gearboxes See All Turbo Charger

System Maintainability Analysis

What is system maintainability analysis?

 

Maintainability is defined as the probability of performing a successful repair action within a given time. In other words, maintainability measures the ease and speed with which a system can be restored to operational status after a failure occurs. This is similar to system reliability analysis except that the random variable of interest in maintainability analysis is time-to-repair rather than time-to-failure. For example, if it is said that a particular component has a 90% maintainability for one hour, this means that there is a 90% probability that the component will be repaired within an hour. When you combine system maintainability analysis with system reliability analysis, you can obtain many useful results concerning the overall performance (availability, uptime, downtime, etc.) that will help you to make decisions about the design and/or operation of a repairable system.

Software features

 

BlockSim supports an extensive array of reliability block diagram (RBD) configurations and fault tree analysis (FTA) gates and events, including advanced capabilities to model complex configurations, load sharing, standby redundancy, phases and duty cycles. Using exact computations and/or discrete event simulation, BlockSim facilitates a wide variety of analyses for both repairable and non-repairable systems. This includes:

  • System Reliability Analysis
  • Identification of Critical Components (Reliability Importance Measures)
  • Optimum Reliability Allocation
  • System Maintainability Analysis (Determine Optimum Preventive Maintenance Intervals, Spare Parts Provisions, etc.)
  • System Availability Analysis (Calculate Uptime, Downtime, Availability, etc.)
  • Throughput Calculation (Identify Bottlenecks, Estimate Production Capacity, etc.)
  • Life Cycle Cost Estimation