Problems
Oil & Gas Infrastructure
Maintenance Challenges
Equipment in oil and gas operations — such as compressors, pumps, turbines, and pipelines — operate under high pressure, temperature, and continuous mechanical load. Unplanned failures in these systems not only result in costly downtime and repairs, but also pose environmental risks, shorten asset lifespan, and significantly compromise operational reliability.
Common Oil & Gas System
Failures and Root Causes
Such failures in oil and gas systems reduce operational reliability, increase
maintenance costs, and pose critical risks to facility safety and equipment integrity.
Bearing System Failures
• Inner/outer race wear
• Ball or roller damage
• Cocked bearings
• Axial/radial clearance loss
• Lubrication degradation or absence
Corrosion & Erosion Damage
• Internal pipe wall thinning
• Cracking due to chemical corrosion
• Saltwater-induced surface rusting
• High-velocity flow erosion
• Abrasive wear from solid particles
Compressor & Pump Issues
• Turbine or impeller blade failure
• Shaft bending or torsional stress
• Rotor-stator rubbing
• Flow blockage and pressure surges
• Impeller imbalance and excessive vibration
Seal & Pressure-Related Problems
• Gasket leaks
• Deformed sealing rings
• Efficiency loss due to pressure drop
• Valve deformation under overpressure
• Fluid leakage leading to energy loss
Sensor & Monitoring Anomalies
• Thermocouple malfunction
• Drift in pressure or temperature sensors
• Signal distortion from EMI (electromagnetic
interference)
• Loose wiring or poor grounding
• False alarms and missing data
Solutions
DS-GO: Enhancing Oil & Gas System Reliability with AI
Minimize Failures. Extend Lifespan. Ensure Safety.
Traditional maintenance in oil and gas operations relies on fixed intervals and reactive interventions — often missing early-stage failures. In an industry where system reliability is critical, AI-powered predictive maintenance is essential. DS-GO integrates DS-Track, an Edge AI-enabled smart sensor, with the DS-Insight platform to monitor pumps, turbines, compressors, and pipeline systems in real time. By analyzing vibration and load data directly at the edge, it identifies early indicators of faults such as bearing wear or rotor imbalance — improving operational safety and reducing unscheduled maintenance.
How it Works
Delphisonic’s predictive maintenance system combines Edge AI-powered DS-Track sensors with the DS-Insight analytics platform to continuously monitor oil and gas infrastructure systems in real time.
Data is processed directly on the sensor, enabling early fault detection before critical failures occur.
This helps optimize maintenance planning, reduce unplanned interventions, and enhance operational safety and system reliability.
DS-Track
DS-Track is an Edge AI-powered smart sensor that can be seamlessly integrated into oil and gas infrastructure systems such as turbines, pumps, compressors, and pipeline equipment. It continuously monitors key parameters like vibration, temperature, and dynamic stress, processing the data locally in real time. The data is transmitted—via wired or wireless connections—to the DS-Insight platform, but most anomalies are detected directly on the sensor itself. This enables early warnings and accurate alerts before critical failures occur, ensuring safe and uninterrupted operations.
DS-Insight
DS-Insight is Delphisonic’s AI-powered predictive maintenance platform, and the DS-GO module is specifically developed for oil and gas infrastructure systems. It analyzes real-time vibration, temperature, and load data from critical components such as rotors, bearings, gearboxes, pumps, and pipeline equipment — detecting early signs of failure before they compromise operational safety. Smart alarm filtering reduces false positives and delivers only timely, actionable alerts. With its intuitive interface and cloud connectivity, DS-Insight with DS-GO helps optimize maintenance planning, improve system reliability, and minimize costly unplanned downtime.
Process
Step-by-Step Summary
DS-Track sensors are mounted on critical assets depending on industry-specific needs.
Data is analyzed locally in real time for early anomaly detection.
Machine learning identifies patterns, detects faults, and recommends maintenance actions.
Operators take targeted, fast action based on precise insights.
Continuous monitoring of vibration, temperature, and load data.
Data is sent to the central platform for deeper analysis and long-term tracking.
Only meaningful alerts are generated—minimizing unnecessary notifications.
Entire flow is tailored through DS modules for each industry
Key Benefits for
Maritime Operations with Delphisonic
Up to 95% failure prevention, minimizing downtime through early detection of faults in pumps, turbines, compressors, and pipelines.
Up to 30% maintenance cost savings by shifting from reactive to data-driven strategies, avoiding unnecessary replacements and emergency interventions.
Improved operational safety, with early identification of risks such as bearing wear, rotor imbalance, or seal leakage — reducing environmental and equipment hazards.
Real-time diagnostics and remote monitoring, enabling centralized control and faster response across geographically distributed sites.
Discover Delphisonic’s solutions to optimize your maintenance
processes and reduce operational risks and costs.
Why Delphisonic?
Delphisonic’s Oil & Gas Expertise
At Delphisonic, we have been delivering predictive maintenance and industrial monitoring solutions since 2012 — with a strong focus on the railway industry.
We combine AI-powered analytics with edge-based smart sensors to detect failures early, lower maintenance costs, and ensure uninterrupted operations.
We don’t just monitor rail systems — we engineer them from within, with deep technical know-how and industry-specific insight.
Let’s solve your infrastructure challenges together.
Guide the future
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