ARTeMIS Modal Product Information
Do you need to perform one of the following types of analysis?
 Operational Modal Analysis (OMA)
 Experimental Modal Analysis (EMA)
 Operating Deflection Shape Analysis (ODS)
 Structural Health Monitoring (SHM)
ARTeMIS Modal is a powerful and versatile tool designed for the OMA, EMA, ODS and SHM analysis. Below the majors benefits are listed along with a listing of all available techniques of the different versions of ARTeMIS Modal.
General
 Scalable software – Unlimited amount of sensors and data points.
 Handles multiple test setups (rowing sensors) and multiple reference points for increased mode shape accuracy.
 Fast and automatic results – Saves time.
 User friendly task driven user interface – Have your first modal parameters estimated in a matter of minutes.
 Versatile – If you can measure the vibration – ARTeMIS will always give you the answer.
 Open  Major data input file formats supported. Software is not linked to specific hardware.
 Outstanding results – Validated output based on several parallel modal analysis – Accuracy.
 Results can directly be used for e.g. Finite Element (FE) correlation and updating, design verification and trouble shooting.
 Insitu testing of a structure – True boundaries.
 Natural environment – True excitation forces even in the presence of deterministic signals (harmonics).
 Test during normal service state – No interruption needed  increased productivity.
 Use operational forces  No artificial excitation needed.
 Modal parameter results describes the true service state of the structure.
 Can be used on extremely small or large structures – size does not matter.
 Polyreference classical modal analysis.
 Frequency Response Functions can be uploaded from files.
 Produce Frequency Response Functions using the internal Impact Testing module for selected data acquisition hardware.
 Mode estimation using peak picking and polynomial estimation on Frequency Response Functions.
Operating Deflection Shapes Analysis
 Time and frequency domain ODS analysis.
 View animations of the structural deflection per frequency or during an interval of time.
 Optionally integration and differentiation in time and frequency domain.
 Save animations to AVI movies.
 Analyze structural integrity over time in a single ARTeMIS Modal project.
 View modal parameters as a function of imported measurements.
 View damage development as a function of imported measurements.
 Optional automatic file upload and processing.
ARTeMIS Modal is produced in three versions and the key features are listed below. All versions have estimators for Operational Modal Analysis (OMA) and Operating Deflection Shapes (ODS). As optional features for all versions are the Data Acquisition plugin, allowing direct control of selected data acquisition hardware, and the Experimental Modal Analysis plugin, allowing classical input/output modal analysis. If both the data acquisition plugin and the experimental modal analysis plugin are available, then it is possible to run the Impace Testing module.
ARTeMIS Modal Basic
This is the basic version having a frequency domain method for Operational Modal Analysis, and optionally direct data acquisition support and two frequency domain methods for Experimental Modal Analysis. Specifically it contains the following tasks and features:
 Prepare Geometry Task.
 Import/modify existing geometry.
 Create geometry from scratch using interactive tools.
 Manage Measurements Task.
 Import/merge measurements file into single or multiple test setups.
 View imported measurements channel by channel.
 Edit imported measurements. Truncation, differentiation or integration.
 Connect/disconnect channels and Test Setups.
 Assign DOF Information Task.
 Link channels with geometry nodes and directions.
 Link using draganddrop or by direct editing.
 Automatic identification of reference channels.
 Easy replication of test setups and reference channels in case of multiple test setup testing.
 Data Acquisition Task.
 Direct control with selected hardware from National Instruments.^{1}
 Direct control with selected hardware from SINUS Messtechnik.^{2}
 Experimental Modal Analysis Impact Testing Module.^{3}
 Prepare Data Task.
 Configure all preprocessing of measurements.
 Repair measurements having severe outliers.
 View processed data of channels and Test Setups.
 Compare processed data of reference channels.
 Estimation Task.
 Report Task.
 Easy selection of graphics and tables.
 Seamless integration  Microsoft® Office 2000, XP, 2003, 2007, 2010 and 2016 32bit/64bit.
 Generate Word documents and Power Point presentations.
 Predefined standard templates.
ARTeMIS Modal Standard
This is the midsize version that, besides all the tasks and features of the Basic version above, also has the following additional tasks and features:
 Prepare Data Task.
 Estimation Task.
 Validation Task.
 Overlaid mode shapes animation.
 Mode shapes difference animation.
 Mode shapes sidebyside / topbottom animation.
 Modal Assurance Criterion.
 Comparison between estimated and imported modes.
 Frequency versus Damping diagrams.
ARTeMIS Modal Pro
The ultimate tool having all the features developed over the last two decades. It has up to eight operational modal analysis methods and supports several plugins for e.g. automatic file upload, automatic modal estimation and damage detection. Besides all the tasks and features of the Basic and Standard versions above, this version has the following additional tasks and features:
 Prepare Data Task.
 Peak Reduction. Reduce or eliminate harmonic peaks and/or unwanted modes.
 Estimation Task.
 Optional Plugin Modules for Structural Health Monitoring.
 Data Manager Base Module including Historical Measurement Statistics and 3D Data View.
 Damage Detection, Classic and Robust methods as well as unifying Hotelling Control Chart.
 Modal Parameter History including automatic mode tracking and tracked modes export.
 Interstorey Drift Analysis. Estimation of relative interstorey drift in multiple locations.
 Automatic File Upload. Upload files automatically from a designated folder and optionally perform modal analysis and damage detection.
With our flexible upgrade policy you can get started in an affordable way, and then upgrade whenever needed.
^{1}: Requires the National Instruments data acquisition plugin. Please ask if your hardware is supported.
^{2}: Requires the SINUS Messtechnik data acquisition plugin. Please ask if your hardware is supported.
^{3}: Requires the Experimental Modal Analysis plugin as well as one of the above data acquisition plugins.
^{4}: Requires the Experimental Modal Analysis plugin.
Frequency Domain Decomposition
ARTeMIS Modal includes up to three frequency domain modal analysis techniques derived from the patented Frequency Domain Decomposition technology utilizing the singular value decomposition of the estimated spectral densities of the measured response. The techniques available are:
 Frequency Domain Decompostion  FDD.
 Enhanced Frequency Domain Decompostion  EFDD.
 Curvefit Frequency Domain Decompostion  CFDD.
All three techniques are based on peakpicking in the frequency domain using either automatic picking or manual picking using the mouse. Once picked, the mode shapes are ready for immediate animation. The techniques are all specially designed to account for the presence of deterministic signals (harmonics) in case of rotating structural parts or other sinusoidal excitation.
Benefits
 Intuitive modal parameter estimation based on peakpicking in frequency domain.
 Immediate results even in case of hundreds of measurement channels and modes.
 Extremely robust being based on the Singular Value Decomposition of spectral densities.
 Handles single or multiple Test Setups in exact same way.
 Through the use of the powerful harmonics detection modal parameters can be extracted in the presence of harmonic components from e.g. rotating machinery.
 Peakpicking can be made manually or automatic.
 EFDD and CFDD methods provide estimates of damping ratios as well as improved estimates of natural frequencies and mode shapes.
Stochastic Subspace Identification
ARTeMIS Modal Pro includes up to five time domain modal analysis techniques. They are all of the data driven Stochastic Subspace Identification (SSI) type and all implementing the powerful Crystal Clear SSI feature. This feature result in extremely clear stabilization diagrams with unseen accuracy of the physical parameters and nearly no noise modes. The techniques available are:
 Extended Unweighted Principal Component  SSIUPCX.
 Unweighted Principal Component  SSIUPC.
 Principal Component  SSIPC.
 Canonical Variate Analysis  SSICVA.
 Unweighted Principal Component Merged Test Setups  SSIUPCMerged.
These techniques estimate the modal parameters directly from the raw measured time series. The SSI techniques incorporate effective ways of dealing with noise. As a result, the modal parameter estimations are the most accurate commercially available today. The SSI techniques can work with closely space and repeated modes with light or heavy damping. Since they are working in time domain there are no leakage bias or lack of frequency resolution, see below. As a result, the modal parameter estimates are asymptotically unbiased. Further, as the SSI techniques are low model order estimators, the statistical errors of the modal parameter estimates are extremely small.
Features
 Modal parameter estimation based on estimation of state space models in time domain.
 State space model estimation can be done on even large channel counts through the use of Projection Channels.
 Projection Channels can be found manually, semiautomatic or fully automatic.
 Very fast estimation of even hundreds of models of increasing dimension.
 Very limited user interaction required. Can be fully automated. By default, the techniques always start with an fully automatic estimation of the global modes.
 Unbiased modal parameter estimation using standard leastsquares or the Crystal Clear SSI® solver.
 Estimation of uncertainties of extracted modal parameters (SSIUPCX).
 Handles single or multiple Test Setups.
 Modal parameters can be extracted in the presence of deterministic (harmonic) signals from e.g. rotating machinery.
 Extraction of global mode estimates can be made manually or automatic.
 Estimated state space models can be validated against data in frequency domain. Both spectral response and prediction errors can be validated.
 Estimated state space models as well as the entire stabilization diagram can be exported in ASCII file format for use outside ARTeMIS Modal.
 All SSI methods are available in the ARTeMIS Modal Pro version.
Benefits
 Unbiased estimation – No systematic estimation errors. No leakage – The SSI techniques work in time domain and are datadriven methods. Since the model estimation is not relying on any Fourier transformations to frequency domain no leakage is introduced. Leakage is always introduced when applying the Fourier transformation and assuming periodicity. Leakage always results in an unpredictable overestimation of the damping. No problems with deterministic signals (harmonics) – Since the modal parameters are extracted directly by fitting parameters to the raw measured time histories, the presence of deterministic signals, such as harmonics introduced by rotating machinery, does not create problems. Harmonics are just estimated as very lightly damped modes. This is in contrast to frequency domain methods relying on the estimation of half power spectral densities that all assume that the excitation is broadbanded (white noise). Using these methods in presence of deterministic signals introduce bias in the modal parameter estimation.
 Less random errors. Loworder model estimator  SSI algorithms are born linear leastsquares fitting techniques fitting state space systems with correct noise modeling. This leads to the use of much smaller model orders than other commercially available high order model estimators. These estimators are often used to approximate a nonlinear least squares problem with a linear leastsquares fitting problem. This is an often seen approximation when fitting e.g. polynomial matrix fractions. In order for this approximation to work, a highorder polynomial order is needed. Since this leads to the use of many parameters compared to a loworder technique, the uncertainties of the highorder parameter estimates becomes larger. More parameters are fitted with the same amount of data available, meaning less independent information per estimated parameter. All modal parameters are fitted in one operation. All parameters fitted are taking advantage of the noise cancellation techniques of the orthogonal projection of SSI. Other commercially available methods often fit the poles (frequency and damping) first, and then use the noisy spectral data and the estimated poles to fit the mode shapes resulting in poor mode shape estimates.
 Automatic Mode Estimation. All SSI techniques includes automatic mode estimation that searches the stable modes in the SSI Stabilization Diagram. All stable modes of all estimated models of all test setups are included in the search, and the result is modal estimates of natural frequencies, damping ratios and modes shapes of high accuracy. The estimates are presented in terms of both mean values and standard deviations. Even in the case of closely spaced or repeated modes and multiple test setups, the automatic mode estimation for SSI works.
 Estimation of Modal Uncertainties. Modal estimation methods that make use of Stabilization Diagrams only present, in general, the estimated mean values of the modal parameters. Typically, Stabilization Diagrams show the mean values of the natural frequencies of the estimated modes with respect to selected model dimensions. In a diagram like this, the search for stable modes is made on the basis of the mean values. Even if the stabilization is clear, it is still difficult to assess the level of confidence that can be associated with each of the presented modes. In the SSIUPCX technique it is possible to visualize the uncertainty of the individual estimates in terms of confidence bounds around the mean values. These uncertainties are taken into account when estimating the global modes in SSIUPCX.
ARTeMIS Modal includes time as well as frequency domain Operating Deflection Shapes (ODS). These features allow you to study the overall vibration pattern either over a time segment or at a specific frequency.
ODS analysis is very beneficial in combination with Operational Modal Analysis as it determines and visualizes the combination of the actual forcing functions acting on the structure and the dynamic behavior of the structure. Results can be shown as displacement, velocity or acceleration in SI, Imperial or userdefined units (Time Domain ODS). Decimation and various filters (lowpass, bandpass, bandstop and highpass) can be applied to frequency limit the analysis.
Both time and frequency domain ODS are available in all versions of ARTeMIS Modal.
Frequency Domain Operating Deflection Shapes
Benefits
 Frequency domain animation of all test setups using multiple reference estimation.
 Unscaled or scaled animation with respect to a specific reference channel.
 Pick a frequency to animate the shape on various spectral diagrams or timefrequency spectrograms.
 View the animation as a movie or step through the movement, frequency step by frequency step.
 Store shapes for specific frequencies in a Shapes list.
 The measurements can be signal processed using the same Signal Processing Control dialog as used by the modal analysis techniques.
 AVI movie creation of animations.
Time Domain Operating Deflection Shapes
Benefits

Time domain animation test setup by test setup of all frequency content in the processed data./li>
 Animation can be made in displacements, velocities or accelerations. Integration filter can be configure by the user.
 Pick a segment in time to animate.
 View the animation as a movie or step through the movement, time step by time step.
 AVI movie creation of animations.
ARTeMIS Modal includes an Experimental Modal Analysis plugin^{1} that opens for frequency domain estimation of modal parameters from Frequency Response Functions (FRF's).
FRF's can be uploaded using Universal File Format (UFF/UNV), or be internal estimated by uploading input and output time domain measurements in the Manage Measurement Task, or by using the Impact Testing Module^{2.}
Two polyreference methods are available; CMIF Peak Picking and RFPZ polynomial estimation.
Complex Mode Indicator Function (CMIF)  Peak Picking
Benefits
 Intuitive modal parameter estimation based on peakpicking in frequency domain.
 Immediate results even in case of hundreds of measurement points and modes.
 Extremely robust being based on the Singular Value Decomposition of the matrices of the Frequency Response Functions.
 Handles single or multiple test setups and single or polyreference in exact same way.
Rational Fraction Polynomial in Z domain (RFPZ)
Benefits
 Estimates global modes from stabilization diagram of modes extracted from rational polynomials.
 Estimates natural frequencies, damping ratios and mode shapes using Automatic Mode Estimation.
 Cursors used to select the frequency range to use in the polynomial estimation.
 Optional correction of damping estimates in case exponential windows are used during internal impact testing.^{2}
 Handles single or multiple test setups and single or polyreference in exact same way.
^{1}: Requires the Experimental Modal Analysis plugin.
^{2}: Requires the Experimental Modal Analysis and a data acquisition plugin.
In ARTeMIS Modal estimated modes can be validated by comparing modal results from the different estimation techniques used for the same project. Results of different projects can also be compared, allowing an older analysis of a structure to be compared with a new analysis. External results may also be imported using Universal File Format, allowing e.g. numerical modes of a Finite Element model to be compared with experimentally obtained modes.
Features
 Overlaid animation of mode shapes.
 Difference animation of mode shapes.
 Sidebyside and TopBottom animation of mode shapes.
 3D and table readout of the Modal Assurance Criterion (MAC).
 Mode shape Complexity Diagram.
 Frequency versus Damping Diagram, with optional uncertainty ellipsoids in case of SSIUPCX.
