Monitor Blade Health Continuously

Understanding the health of your blades and detecting blade defects before they become significant is critically important. Early damage detection allows prompt blade repair when the damage is smaller and cheaper to fix. Constant monitoring also removes the need to inspect towers that aren’t showing damage, which means you can reduce drone inspections to the pre-screened blades.


Continuous monitoring offers consistency of analysis across multiple wind turbines and along the operational timeline.


Accurate insights means less turbine down time improving performance.


Custom notifications enable you to define who gets alerted and when.

Remote Analysis

Data is sent to the cloud for remote access.

Damage forecast

Detect blade defects before they escalate and become costly. We understand your challenges which is why continuous monitoring is able to offer better damage identification than annual inspections.

Risk Profiles

Data is sent to the cloud for remote access.


Data Analysis

We understand your problems which is why continuous monitoring is able to offer better damage identification than annual inspections.

Discover which blades have damage.

In a blind trial we were asked to identify which turbines were most damaged. Some of the turbines had significant damage but were still operational, some had relatively minor root crack damage that required repair and the rest had no known damage. Ping successfully identified which of the turbines had the most, least, and no damage.


Types of damage detected

Ping compares the sound that is detected from the blades to known acoustic signatures from damaged blades to identify the likely magnitude and type of damage.

Tip Damage

The blade tip and the inflow edge are particularly exposed to erosion, which ­is detrimental to aerodynamics and significantly diminishes energy yields.

wind turbine blade tip damage

Leading Edge Erosion

Leading edge erosion is an emerging issue in wind turbine blade reliability, causing performance decreases and additional maintenance costs.

wind turbine blade leading edge erosion

Gouge or Lightning Strike

Lightning strikes wreak havoc on wind turbine blades, and sometimes these lightning blasts cause severe damage to the blade.

wind turbine blade lightning strike

Split Tip

A split tip will weaken the structural integrity of your blades, negatively affect the blade aerodynamics and reduce overall turbine performance.

wind turbine blade split tip
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Don't fly blind.

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Frequently Asked Questions

What type of damage can Ping Monitor detect?

We can detect cracks (including root cracks), splits, holes, pitting and lightning damage.

Can we replace drone inspections with this?

We aren't proposing you entirely replace existing methods of inspection. However, Ping does significantly reduce the amount of time and money on turbines where there are no blade issues, allowing you to focus them where they are most needed.

How is damage indicated?

Ping Monitor indicates which turbines across a fleet have damage. From this continuously updated information, you can then decide which turbine needs attention. We use the 0 to 5 rating system where 0 requires no action and 5 requires urgent action.

Can it be used on offshore wind turbines?

Ping Monitor is not currently suitable for marine applications. However we are working on an improved housing to improve weather and sea water protection.

Where do we see the data?

Data is automatically uploaded to the cloud and is available 24/7 on the dashboard once you log in.

Is this available now?

Yes, Ping is available and shipping today.

How are noise variations managed?

To discriminate between extraneous noise sources independently without user intervention, Ping Monitor validates measurements over a period and several variables are assessed for stability.

How do you baseline a new installation?

When Ping Monitor is installed for the first time, a baseline period of two weeks commences. During this period results from turbines with blades of the same design are compared. Additionally, onboard metrics can identify particular acoustic characteristics associated with blade damage. These then work together to determine the level of pre-existing damage, regardless of the age of the blades at the time of first install.