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Safran Helicopter Engines reduces typical test analysis time for new engines from 2 months to 1 week with nCode Automation

Safran Helicopter Engines, france

Introduction

Safran Helicopter Engines (Safran) designs, builds, markets and supports the most comprehensive range of low-to-medium-power gas turbines for helicopters. Extensive physical testing is required for the development of new engines, development of derivative engines and qualification of engines for new applications. In the past it took Safran about two months using Microsoft Excel® spreadsheets to analyze test data for a typical new gas turbine engine program, consisting primarily of filtering, statistical analysis and reporting.

In an effort to improve data analysis efficiency, Safran switched to nCode Automation which more efficiently manages the large data files involved in testing and provides a wide range of data analysis automation tools. Time to analyze data for the most recent new engine was reduced to from months to only one week. “The improvement that we have achieved in data analysis efficiency will make it possible to improve product performance and robustness by increasing the scope of data analysis without lengthening time to market,” said Pierre Mialocq, Project Manager at Safran (formerly Turbomeca).

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Challenge
Solution
Result
Client Description

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Solution requirements

Efficiently handle large test data files
Reduce time taken to analyze test data
Improve consistency of analysis so that different tests are analyzed using the same methods

Critical role of testing

Considerable amounts of testing are involved in the development of a new helicopter gas turbine engine. For example, during altitude tests, engineers typically capture 400 channels of data from temperature, pressure, velocity sensors and accelerometers, generating a total of 5,000 different files. The first step in analyzing these files typically involves checking for problems with the sensor or data acquisition system. When problems are found, they are then addressed by filtering the time history data. The next step is to perform a variety of different statistical analyses. These may include calculation of the maximum, minimum, mean, standard deviation, difference between channels, etc. In some cases time histories are converted to the frequency domain. Normally, the final step is to collect the most important information and format it as a series of tables so that engineers can quickly evaluate the results.

In the past, Safran performed this analysis by using a mixture of manual and automated methods. The company developed Visual Basic for Applications (VBA) scripts to automate the analysis of the most important 10% of the files. The number of files that could be automated was limited by the long and difficult process required to produce the VBA code for relatively simple data analysis tasks. Additional problems arose from the fact that Excel® is not designed to deal with the very large files frequently produced in measurement applications, sometimes taking 5 minutes to open a large file. The majority of the data analysis process which was done manually took much longer and there were concerns about potential errors or processing capabilities with specialized options such as fatigue analysis, accelerated testing, and rotating machinery analysis. Users can simply create an analysis process referred to as a ‘flow’ in GlyphWorks by dragging and dropping analysis building blocks. In addition to general signal processing, GlyphWorks provides fatigue analysis capabilities for measured data. Processes created in GlyphWorks can be locked down and distributed, improving the consistency and speed of analysis. “The combination of GlyphWorks’ graphical environment and its specialized test data analysis tools together with nCode Automation has simplified the process of automating the test data analysis process to the point that we are able to automate almost all of the different types of files that we typically analyze,” said Mialocq. The number of different ‘flows’ that needed to be made were reduced by creating flexible flows that are able to handle many different tasks. For example, one flow analyzes all of the company’s endurance tests by providing engineers with the option to either use a generic flow or to enter specific parameters that can be applied to the analysis process. inconsistent results from different test engineers performing the data analysis their own way.

Freight wagon from Irish Rail under test, at Dromod Station in the Republic of Ireland, during ride tests.

Meeting the data automation challenge

Safran made the decision to switch to nCode Automation with the goal of improving test data analysis efficiency and ensuring a repeatable process. nCode Automation is designed specifically for test data so it handles the complete process within a single environment and offers fast analysis of large data files associated with physical testing. nCode GlyphWorks works within nCode Automation to provide a wide range of data processing capabilities with specialized options such as fatigue analysis, accelerated testing, and rotating machinery analysis. Users can simply create an analysis process referred to as a ‘flow’ in GlyphWorks by dragging and dropping analysis building blocks. In addition to general signal processing, GlyphWorks provides fatigue analysis capabilities for measured data. Processes created in GlyphWorks can be locked down and distributed, improving the consistency and speed of analysis. “The combination of GlyphWorks’ graphical environment and its specialized test data analysis tools together with nCode Automation has simplified the process of automating the test data analysis process to the point that we are able to automate almost all of the different types of files that we typically analyze,” said Mialocq. The number of different ‘flows’ that needed to be made were reduced by creating flexible flows that are able to handle many different tasks. For example, one flow analyzes all of the company’s endurance tests by providing engineers with the option to either use a generic flow or to enter specific parameters that can be applied to the analysis process.

Speeding up test data analysis

The speed of Safran’s test data analysis process was substantially improved due to the flows created in GlyphWorks and its ability to handle large data files efficiently. Large files that once took five minutes to open now take only ten seconds to open and the typical time required to perform analysis with VBA scripts has been reduced by about two-thirds. Speed is also considerably greater in processes that were once performed manually, typical time required to perform analysis now takes one minute rather than one hour. Besides time savings, automating processes also provides assurance that the analysis is performed exactly the same way every time so that data from different tests or projects can be compared with each other with confidence knowing that each file was analyzed using exactly the same methods.The result is that the product development process has been significantly improved. “Test data analysis can now be performed faster and more efficiently,” Mialocq said. “We can analyze more tests and larger data sets in a fraction of the time that was required in the past - this helps us in several different ways. Because test data analysis was often a bottleneck in the past, we can now perform more tests and longer tests with a greater number of channels. The result is that we learn more about our proposed design and so we now have the potential to make significant improvements in performance. Increasing the volume of testing also provides greater confidence in our results which helps improve the robustness of our designs. Finally, increasing test data analysis efficiency also offers the potential of reducing time to market” Mialocq continued.Test data collaboration Safran will continue to implement nCode Automation as an environment for sharing test data and associated information throughout their organization. “In the past we stored data files on a shared drive which made it hard to find tests,” Mialocq said. “I may have analyzed a test and six months later a colleague in the design department might run the same analysis again because he was not able to find my report. nCode Automation will make it easy to search for files and control who accesses or makes changes to them. nCode Automation will also store all of our different flows to make them easier to find.” Safran is also planning to move to a different data acquisition system that will record directly in the nCode S3T format, eliminating the need for the translation from CSV to S3T which is currently the first step of nearly every data analysis flow.

“The excellent support provided by HBM-nCode has been an important factor in the success of this project,” Mialocq concluded. “The technical expertise of their support team is outstanding, much better than other suppliers of data analysis software that we have dealt with in the past. nCode product support is also very responsive to our requests for technical service and in other areas such as adding needed features to their software. It’s a very good relationship and the results have been very positive. The project of automating our test data analysis is very important and is having a major impact on our product development process. We are already seeing results in terms of improving the speed and quality of our process and we are expecting even greater results in the future.” nCode Automation enables departments, sites and project partners at Safran to manage, share and analyze thousands of channels of measured data.

About Safran Helicopter Engines

Safran is an international high-technology group and tier-1 supplier of systems and equipment in the Aerospace and Defense markets. Operating worldwide, Safran has nearly 58,000 employees and generated sales of 15.8 billion euros in 2016. Safran is listed on the Euronext Paris stock exchange, and its share is part of the CAC 40 and Euro Stoxx 50 indices.

Safran Helicopter Engines (formerly Turbomeca) is the world's leading manufacturer of helicopter engines, with more than 72,000 produced since being founded. It offers the widest range of helicopter turboshafts in the world and has more than 2,500 customers in 155 countries.

Safran Helicopter Engines (safran-group.com)

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Safran Helicopter Engines reduces typical test analysis time for new engines from 2 months to 1 week with nCode Automation

Safran Helicopter Engines, france

Introduction

Solution requirements

Critical role of testing

Meeting the data automation challenge

Speeding up test data analysis

About Safran Helicopter Engines

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