The Laboratory for Stochastic Mechanical Systems & Automation (SMSA) is an international leader on advanced, highly innovative, methods for stochastic mechanical, structural, and aeronautical systems, with emphasis on Statistical Time Series methods for data analysis, data-based stochastic signal modelling / identification, and fault diagnosis / Structural Health Monitoring (SHM).

signal

 Our work: Our research work is interdisciplinary, uniquely combining advanced theory with experiments and industrial applications. It involves statistical time series and related methods for: (a)  Estimation & identification (data-based modeling), (b) Analysis, (c) Prediction, (d) Monitoring & Fault Diagnosis (including Structural Health Monitoring), and (e) Control.

 

Our challenge: Extract the maximum information from random signals and data – use the information for analysis, prediction, decision making, diagnostics, control!

 

Our people: The Laboratory is led by Professor S.D. Fassois and involves a team of highly dedicated faculty members, post docs, PhD candidates, other researchers, as well as numerous M.Sc. students. All our people are highly motivated with strong background in theory and applications, programming, and experimentation.

 

Our experience: 30 years of teaching and research excellence on stochastic identification, fault diagnosis / SHM, data analysis. Cooperation with major industrial companies, research institutes, and universities across Europe, the US, and the world. Strong publication program with over 270 technical articles published in major international journals and conference proceedings, articles published in major technical encyclopedias and books, plus a multitude of additional technical reports. The Lab is also active in the organization of international professional short courses, technical conferences, thematic issues for major international journals.

 

Our facilities & equipment: The Laboratory features modern facilities, including computing facilities, commercial and dedicated software, and experimental equipment for both in-house and on-site experiments and data acquisition. Included are actuation devices (shakers, instrumented hammers), vibration and force sensors, force control equipment, high precision Data Acquisition (DAQ) systems for multi-channel dynamic measurements, portable systems, Real Time (RT) data acquisition and control systems, and a number of prototype structures. Also set-ups for digital feedback vibration control, servomotor control, and hydraulic control.

 

Our sponsors: Private and public industrial partners around the globe, as well as national and international research agencies, including the European Commission.

 

industry

 

Our GENERIC experience & capabilities:
We have experience, tools, and unique capabilities/tools in areas such as:

  • Non-parametric data & random signal analysis
  • Parametric data & random signal analysis (regression, ARMA models, state-space models,…)
  • Random mechanical vibration analysis
  • Statistical Time Series analysis
  • Signal Processing: Time domain signal analysis
  • Signal Processing: Frequency domain signal analysis – Spectral Estimation
  • Data based modeling of stochastic dynamical systems (System Identification)
  • Data based prediction
  • Data based diagnostics
  • Statistical Time Series methods for Structural Health Monitoring (SHM)
  • Precise damage localization
  • Non-Linear signal and system data-based modeling (identification)
  • Non-Stationary signal and system data based modeling
  • Data-based modeling of systems under various operating conditions

 

Our APPLICATION experience & capabilities:

  • Automotive systems & diagnostics
  • Railway vibration & diagnostics / SHM
  • Experimental structural dynamics – Modal Analysis
  • Analysis of railway reliability and availability data
  • In-flight aircraft vibration analysis & diagnostics / SHM
  • Bridge non-stationary vibration & SHM – bridges with passing train
  • Structures under earthquake excitation – identification & SHM
  • Random vibration based SHM for mechanical structures (trusses, beams, wind turbines, rotating machinery, robotics,….)
  • Identification of mechanical systems & mechanisms with friction
  • Aircraft fault detection systems & avionics
  • Aircraft air traffic systems – stochastic collision avoidance – guidance systems
  • Production Quality Control (automotive assembly,….)
  • Biomedical signal analysis (neuro signals, human motion signals,…)
  • Environmental signal & data analysis

 

To work with us: Please contact us

 

Companies/employers interested in our highly motivated graduates: Please contact us

 

 

 

close about us