Our Solution

Detect and localize pipeline leaks

Pipelines are widely adopted in industries to transport fluids such as liquids and gases. Leaks in pipelines create interruptions in the fluid supply and disturb the plant operation causing economic losses. In addition, the leakage of harmful liquids or gases may pose a hazard to the environment and risk the safety of workers. Our solutions use acoustic emission (AE) sensors to detect and localize pipeline leaks. The AE data are processed using the right signal analysis and AI methods to detect the presence of leaks and their location.

Are you facing these challenges?

Frequent Pipeline Leaks

Experiencing regular pipeline leaks that disrupt fluid supply and interfere with smooth plant operations, leading to economic losses?

Safety and Environmental Hazards

Concerned about the leakage of harmful liquids or gases posing serious risks to worker safety and the environment?

Difficulty in Leak Localization

Struggling to accurately detect and pinpoint the location of leaks, resulting in prolonged downtime and costly repairs?

Inefficient Leak Detection Methods

Relying on outdated or ineffective leak detection methods that fail to provide timely and precise leak identification?

Key Features

Acoustic Emission Sensors

Utilize advanced acoustic emission sensors to detect even the smallest pipeline leaks with high precision.

Accurate Leak Localization

Employ sophisticated signal analysis and AI methods to precisely locate leaks, minimizing downtime and repair costs.

Real-Time Monitoring

Continuous, real-time monitoring of machinery to promptly identify issues and prevent unexpected breakdowns.

Safety Assurance

Enhance worker safety and environmental protection by quickly detecting and addressing leaks of harmful liquids or gases.

Cost-Effective Solutions

Reduce economic losses through early leak detection and precise localization, preventing extensive damage and costly interruptions.

Comprehensive Reporting

Receive detailed reports on leak occurrences and locations, providing actionable insights for maintenance and operational improvements.

The way we conduct our activities

1. Book service / onsite visit/ remote services

Client can book our services through phone call/email and our expert team visits the site to collect diagnosis data from critical machinery installed on the factory shop floor. Client can also share their machine data remotely if it is already available. Monitored machine include pumps, motors, gearboxes, turbines, compressors, engines and fans, etc.

2. Collect data via IOT sensors and devices

We install high-end IOT sensors and devices on the machine to collect vibration /acoustic emission/ temperature data to capture the machine health status. Data is stored and transferred to a PC for further analysis. We document the preliminary information about the machine operating conditions, past operation profile, process parameters fault symptoms, and other relevant technical details available with the client .

3. Signal processing and feature extraction

We offer innovative data analytics tools with a range of signal processing algorithms to discover superior fault features that can track the machine condition accurately and useful to build robust AI models. Features are extracted to reveal the time-domain, frequency-domain and time-frequency domain information embedded in signals.

4. Detecting faults through through AI

We use state of the art machine learning and deep learning algorithms to learn the fault patterns directly from the raw signals or through the fault features for identifying and classifying machine faults. Our solutions are designed to tackle challenges such as unavailability of failure data in training, missing data, imbalanced data and explainability

5. Visualization and Interpretation

Our software platform loaded with various data visualization and interpretation dashboards/icons enables the users to visualize the health indicators and forecast them in a real-time manner, set failure thresholds, get insights into analysis outcomes, and generate accurate failure alarms.