High coverage without test scripts test automation based on computer chess principles
Complex mechatronic systems are difficult to test and validate. Traditional methods based on hand-written test scripts do not scale anymore with increasing system complexity. TestWeaver implements a novel method for automatic test and validation of dynamic systems. The generated test scenarios are not just static test vectors - they can be complex time-varying control signals.
Benefits
High coverage with low specification effort
Design and implementation errors are found earlier
Easy connection to the tool chain used by the development engineers
Software in the Loop – a virtual integration platform for agile mechatronic development
Silver is a tool that allows development engineers to integrate and test system modules virtually in a combined co-simulation on standard PC-hardware under Windows. Usually this requires the co-execution of control software and of hardware (or plant) simulation models in order to test system-level behavior even before physical prototypes exist. Control software and simulation models can be imported from development tools such as MATLAB/Simulink with Real-Time Workshop or TargetLink, Dymola, SimulationX, SIMPACK, AMESim or C/C++.
FReET is a multipurpose probabilistic software for statistical, sensitivity and reliability analysis of engineering problems. It allows to simulate uncertainties of the problem at random variables level (typically in civil/mechanical engineering – material properties and loading, geometrical imperfections).
FReET includes state-of-the-art probabilistic simulation algorithms to compute the probabilistic response and reliability. It is developed in C++ and optimized for speed.
FReET is a modular computer system for performing probabilistic analysis of engineering problems developed mainly for computationally intensive deterministic modeling such as FEM packages, and any user-defined subroutines. Therefore small-sample simulation techniques are preferred. The most successful FEM integration represents the combination with nonlinear fracture mechanics software for analysis of concrete structures ATENA.
The scope of AMOS business functions available today is second to none, and the high degree of integration that AMOS offers its users is unsurpassed. AMOS consists of eight core modules administered in one relational database. Despite the system’s modular architecture that allows the module-wise implementation of the system, the high degree of integration of the different modules in one system is prerequisite for data quality, productivity, reliability and informed business decisions.
Additional non-core modules have been developed and are at the user’s disposition, such as a Quality Management Module, a full-fledged integrated shift planning module, as well as useful tools for Workflow Management and a large set of numerous predefined Reports.
The wide spectrum of AMOS functionalities combined with cutting-edge technology attribute to AMOS an unrivalled position as the best-selling MRO software on the market.
The following brief survey of the different AMOS modules shall help you to evaluate the strengths and complexity of the system:
EXAKT is a decision support tool for predicting reliability and optimizing condition based maintenance.
EXAKT predicts equipment failure, estimates remaining useful life of equipment and defines the mix of preventive replacement and run to failure in order to:
- Optimize costs
- Optimize reliability
EXAKT integrates your data from ALL your data bases and then uses it to make optimal decisions! - Achieve the optimum risk/cost/reliability balance
If you are a CEO, CFO, Plant Manager, Supervisor, Maintenance Manager, Engineer, Reliability Expert or Technician in:
Mining
Petrochemical and Refining, Oil and Gas
Chemicals
Utilities
Metal Processing, Steel and Plastics
Pulp and Paper, forest products
Heavy Transportation
Food and Beverage processing
Municipal, State and Federal Departments, Military and
basically any industry where asset replacement or equipment failures are expensive
Tyou can rely on EXAKT answering the question:
“Can we finish this production run before a breakdown?”
It provides you with
A Replacement Decision Report
All that collected data now actually means something!
The report tells you what action to take in one uncomplicated chart!
No need to look at scores of charts and graphs, wondering what it all means.
If the current composite variable - represented by the latest white dot – is in the green, you’re safe until the next inspection period. If it’s in the yellow, repair it before the next inspection period. In the red field, act immediately.
A Sensitivity of Optimal Policy Report
Get the RIGHT information at the RIGHT time!
It reveals how important accurate cost data is to the ultimate replace–or-don’t-replace decisions and
Shows how the cost-data precision affects the hazard level (the level at which a replacement is recommended), and whether you should plan less, or more, preventive replacements.
The curve shows that at a low cost ratio one would plan less preventive replacements. Where cost ratio is high, one would plan to replace preventively more often.
A Cost Function Report
Age-based Weibull analysis can be effectively used to deliver vital decision-making results on its own if you don’t have condition data
The green area illustrates the costs that are associated with preventive replacements. The “dot” shows the recommended, and lowest-cost, point for replacement…every 6297 hours. The red area shows the not preventively-replaced (i.e., failure-replaced) components’ contribution to the total cost of replacement.
Maintenance cost reductions of 10 to 49% per failure mode!
84 to 100% reduction in failures!
Benefits
- Relates condition variables to failure modes with statistical confidence levels and therefore prompts the company to stop collecting and analysing low-impact data
- Gives the equipment operator a high level of confidence that the equipment will not fail before the end of the production run
- Reduces maintenance costs by optimizing the blend of preventive replacements and run to failure
- Provides for orderly replacement planning by predicting remaining useful life
- For complex equipment, increases the accuracy of failure prediction by operating at the component level
- Provides accurate and consistent prediction model for each piece of equipment
- easy to read graphical output shows results at a glance
Sample Results:
- Maintenance cost reductions of 10 to 49% per failure mode
