Shazwan Shaiful Bahri · Condition-Based Monitoring Analyst
Turning Machine Condition Data into Reliability Decisions
12+ years diagnosing rotating equipment across oil and gas facilities — from vibration analysis and Motion Amplification to post-maintenance verification. Evidence-led findings, communicated in terms operations and management can act on.
12+ years’ experience
VA Category II
MLA Level I
MA Level I
Professional value
Field diagnostics, communicated clearly
01
Diagnostic capability
Vibration analysis, Motion Amplification, and condition trending, backed by inspection evidence — used to pinpoint probable fault mechanisms, not just flag symptoms.
02
Lifecycle perspective
Built from hands-on maintenance, project quality, and commissioning work — spanning online and offline monitoring, test runs, and post-maintenance verification.
03
Decision support
Findings translated into equipment condition, supporting evidence, risk level, and a recommended follow-up action — ready for a maintenance-planning conversation.
Career progression
Experience across maintenance, projects, and condition monitoring
2013–2014
Rotating Equipment Maintenance
Inspection, preventive and corrective maintenance, shutdown support, and vibration checks on turbines, compressors, pumps, gearboxes, and blowers.
2014–2016
Project, Quality & Commissioning
Mechanical work supervision, vendor and engineering-document review, installation readiness, commissioning procedures, and PSSR/test-protocol support.
2016–Present
Condition Monitoring & Machinery Diagnostics
Online and offline vibration diagnostics, route management, Motion Amplification, balancing, bump testing, FRF, test runs, and technical condition reporting.
Diagnostic workflow
From machine data to maintenance action
A finding is only useful when the measurement is valid, the machine’s operating context is understood, and the recommendation matches the evidence and the risk.
Collect and validate data
Identify symptoms and patterns
Test probable failure mechanisms
Assess technical and operational risk
Recommend and verify action
Selected technical work
Evidence of diagnostic thinking
FAULT DIFFERENTIATION
High 1X isn’t always unbalance
A high running-speed component is a symptom, not a diagnosis. Confirming the cause requires phase, direction, operating response, and machine construction — evaluated together before balancing is recommended.
STRUCTURAL RESPONSE
Motion Amplification and vibration correlation
Visible movement, correlated with vibration and operating data, separates structural flexibility, piping response, looseness, and transmitted motion from each other.
POST-MAINTENANCE VERIFICATION
Test-run and rotor-behavior assessment
Trend, spectrum, orbit, shaft centerline, and Bode data together assess machine response through run-up, steady operation, and coast-down.
Public Knowledge Hub
Standards-referenced articles, diagrams, and study resources — showing how condition data, failure mechanisms, and operating context should be read and interpreted.
Professional membership
Become a Professional Member
Join to access the approved resource library and request controlled technical material through a straightforward review process.
- Reviewed professional access
- Controlled technical resources
Technical content principles
Content is developed from applicable standards, recognized industry guidance, OEM information, and clearly stated engineering principles. Diagnostic conclusions account for machine design, operating condition, measurement quality, and maintenance history — with assumptions always identified separately from confirmed findings.