Large American Home Appliance Manufacturer

Shoreline AI Detects Anomaly on 2nd Cylinder of A 6-Stage ReCip

Predictive Maintenance Analytics Prevents Costly Disruption and Equipment Failure

Observations

A deviation in cylinder 2 temperature when compared with other five cylinders.

The vibration spectrum indicates increased in energy content at high-frequencies between gas pulsation region 4 – 8 Khz and the time waveform shows noisy / leaky valve openings instead of crisp valve openings.

Real-Time Monitoring of assets by shoreline AI

Alarm raised on Shoreline APM Platform

Shown here is an alarm raised by the Shoreline AI APM/PdM platform.

The customer checked and confirmed that the discharge valve found leaky. Once the customer took corrective action to replace the discharge valve, cylinder temperature back to normal

Supporting Data

Cylinder 2 started deviating from its regular temperature pattern and rose to 126 °F Cylinders 6 and 4 are maintaining a maximum temperature between 105 – 115 °F.

After valve replacement temperature back to normal trend 105 – 115 °F.

Evidence Of Success

The spectrum and time waveform on the left show high amplitude and noise in the gas pulsation region. The time waveform also indicates noisy or leaky valve openings

As per the recommendation, customer replaced the discharge valve.

The spectrum and time waveform on the right show reduced amplitude and noise in the gas pulsation region. The time waveform indicates crisp valve opening

Spectrum charts below indicate the before and after repairs.

4 Khz to 8 Khz Spectrum shows increased energy/noise, from the lazier valve opening

Post valve replacement 4 Khz to 8 Khz Spectrum shows reduced energy/noise.

Instead of crisp valve opening events, noisy valve type signal pattern

Post valve replacement crisp valve opening events in twf signal pattern

Conclusion:

Timely alarm and quick maintenance action saves the reciprocating compressor from further damage, thereby preventing a disruptive, expensive plant shutdown.

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.