Reliability software enables organizations to improve product safety and reliability by measuring performance against industry-wide standards. In this way, reliability prediction and reliability engineering help businesses to determine whether a product’s performance under anticipated or actual conditions meets established goals. Reliability software is used mainly in safety studies, engineering analysis, and product development.
Special features include custom report building and block diagram analysis. Industry-specific reliability software for the aviation industry is also available. There are many types of reliability software. Some products are designed for reliability life data analysis or quantitative accelerated life testing analysis. Others are suitable for experiment design and analysis. Life data analysis software predicts the state of an entire product line by applying a statistical distribution from a representative sample to the group. Quantitative accelerated life testing analysis software is designed to capture life data about a product under accelerated stress conditions such as high temperature, voltage, or humidity. Reliability software for experiment design and analysis may support factorial designs, fractional factorial designs, and response surface method designs. Reliability software includes applications for reliability growth analysis and standards-based reliability prediction. Reliability growth analysis software applies statistical models such as Crow-AMSAA (NHPP) to both success/failure (discrete) and time-to-failure data types.
Standards-based reliability software is used in evaluating design feasibility and comparing design alternatives. To support failure rate and mean time between failure (MTBF) predictions, this type of reliability software may support not just Bellcore and Telecordia predictions, but also MIL-217 predictions. Types of reliability software include programs for systemic analysis; probabilistic event and risk analysis; and failure modes, effects and criticality analysis (FMECA). System analysis software uses fault tree analysis (FTA) and/or reliability block diagrams (RBD) to model system availability, system reliability, and system maintainability. Probabilistic event and risk analysis software uses flowchart models and other techniques to produce reliability and risk analyses for decision making and maintenance planning. With failure modes, effects and criticality analysis (FMECA) software, programs enable compliance with industry standards such as AIAG FMEA-3 (FMEA-4), SAE J1739 and MIL-STD-1629A.
Other types of reliability software include products for reliability-centered maintenance, FMEA template collection, and maintenance program creation. Reliability-centered maintenance software provides features such as equipment and maintenance task selection, machine configuration, and failure effect categorization. The use of standard failure modes and effects analysis (FMEA) templates can provide organizations with a way to implement FMEA analyses. Typically, reliability software for the aviation industry meets regulatory requirements and provides both aircraft system and power plant analysis.