Preventing A Major Break Down - Shoreline | Industrial Automation

Shoreline Predicts pump bearing failure for a large oil and gas midstream company preventing a major break down

Alarm advisory details on ShorelineAI APM platform:

1. An abrupt rise in Total Vibration Energy on Pump NDE bearing triggers an alarm.

2. An e-mail with relevant links (to ShorelineAI platform) is sent to users.

3. Diagnosis and recommended actions are accessible on ShorelineAI cloud platform as well as the phone app.

4. Trend-charts, and Spectral analysis plots supporting the diagnosis are available as well, on the cloud platform and in the ShorelineAI phone app.

Supporting data:

Trend data shows a rapid rise in vibration readings starting 28th June. Trend also shows a quick reduction in vibration levels once process settings are corrected to match the hydrocarbon fluids being pumped.

Corrective actions taken by customer:

Within a few hours of the alarm annunciation via Shoreline phone app. customers’ engineers modified the process settings to match the NPSH requirements as per pump’s best efficiency point.

Data ingestion and processing into Shoreline’s AWS environment consists of several AWS services that include AWS IoT Core which handles device authentication/authorization, data encryption. IoT core triggers AWS Lambda for processing. Structured data is stored in Amazon Aurora while unstructured data and asset manuals in stored in Amazon S3. Shoreline also leverages Amazon SageMaker for training its ML models and Amazon Bedrock LLM Models for Gen AI. This combination of ML models with physics-based models enable auto-configuration of assets from Shoreline’s proprietary pre-built library of more than 30,000 assets. Initial machine baselines established from the auto-configuration process provides insights in days, not months.

Conclusion:

Quick correction of process settings, in response to ShorelineAI’s alarm messaging, helped bring the pump operations back to near-best-efficiency point. Elimination of cavitation in centrifugal pumps improves pump-efficiency, thereby saving energy consumption, besides extending pump MTBR and equipment-residual-life.

About Shoreline AI

Shoreline AI’s plug-and-play asset performance management delivers breakthrough simplicity and cost efficiencies. Completely self-installed by non-experts, smart sensors automatically connect to the cloud and are auto-provisioned via a rich library of 30,000+ pre-built asset physics models.

This cloud-native approach requires no new CapEx, on-site experts or data scientists, operationalizing in days and delivering powerful machine-specific analytics. This highly secure, 100% subscription approach creates unprecedented industrial APM economics and scales easily for new applications such as emissions monitoring.

Shoreline AI helps clients in asset-intensive industries maximize the performance and profitability of their operations, create a proactive and predictive approach to asset management, and accelerate sustainability initiatives. The company’s solutions are designed for machinery serving the energy, manufacturing, pharma and data-center cooling industries.