NOTES¶
OMA Theory — What Are Modes? Why Output-Only Works?
Operational Modal Analysis (OMA) identifies modal parameters using only structural vibration responses (outputs), without measuring input excitation.
What Are Modal Parameters?¶
Every structure (bridge, building, wind turbine) has natural vibration patterns called modes. Each mode has three parameters:
Frequency¶
Structures "like" to vibrate at certain frequencies. A bridge might sway at 2.9 Hz front-to-back and twist at 9.3 Hz. These are natural frequencies.
Damping¶
If you strike a bell, the sound doesn't last forever—it decays. That decay rate is the damping ratio. High damping → vibration stops quickly. Low damping → it rings for a long time.
Mode Shape¶
Different parts of a structure vibrate with different amplitudes. A cantilever beam's root barely moves while the tip swings wide. The relative amplitudes form the mode shape.
OMA vs EMA¶
| EMA (Experimental) | OMA (Operational) | |
|---|---|---|
| Excitation | Impact hammer / shaker | Ambient (wind, traffic) |
| Input measured | Yes | No |
| Best for | Lab, small structures | Real structures (bridges, buildings) |
| Equipment | Requires excitation gear | Accelerometers only |
Core Assumption¶
OMA assumes ambient excitation is stationary white noise—random in time, covering all frequencies in the spectrum. The structure's response is then entirely determined by its own modes.
Six Methods in One Sentence¶
| Method | One sentence |
|---|---|
| PP | Find peaks in averaged PSD—fastest, can't separate close modes |
| FDD | SVD at each frequency bin—noise is automatically separated |
| EFDD | FDD + IFFT for damping—approximate but useful |
| ITD | AR models on channel pairs—catches very weak modes |
| ERA | Big Hankel matrix + SVD—most accurate overall |
| SSI | Toeplitz matrix + cross-order voting—best damping |