Industrial Reliability Engineer / RCFA Specialist (Siloed Data & Root-Cause Investigation Pilot)

@Mahihassi

With a unique blend of experience in both Electrical Engineering and Industrial Automation, I possess the comprehensive skills needed to elevate your AI-powered root-cause investigation workspace. Having integrated various SCADA, DCS, and HMI systems before and been involved in robust Firmware Development for IoT devices, I am well-versed in handling the very data sources that your project aims to optimize. Beyond having a deep understanding of tags like AVEVA PI and work order fields such as SAP PM / IBM Maximo - which would be valuable for identifying gaps and improving your workspace's UI/UX - I also bring with me a knack for problem-solving and an eye for minute details, garnered from extensive embedded system design work. As an experienced freelancer confident in delivering highly detailed feedback, you can rest assured that my actionable suggestions will enhance your investigation workflows. My rankings of additional data signals or reliability KPIs will be grounded in real-world practice and will arm you with the insights needed to make informed decisions about signing off on RCFA. Lets's team up to make your workspace all the more equipped to address the hard-hitting challenges of industrial maintenance and reliability.

@Ryan15222

Hi, I’m a Mechanical/Mechatronics & Automation Engineer with 5+ years of experience working with industrial machinery, PLC/SCADA systems, sensors, alarms, equipment failures, and troubleshooting. My experience includes Siemens S7-1200/1500, TIA Portal, WinCC, OPC UA, industrial sensors, motor/drive systems, and machine diagnostics. I’ve worked on systems where the real challenge is connecting machine behavior, alarms, sensor data and maintenance history to identify the actual failure mechanism rather than simply finding correlations. For your workspace, I can: - Replicate the investigation process using your simulated plant failure datasets. - Review time-series trends, alarm sequences and operating conditions. - Evaluate whether the proposed evidence supports or contradicts the suggested root cause. - Identify missing signals, tags, alarm context and maintenance information. - Review pump, compressor and heat-exchanger investigation workflows. - Flag false positives, false negatives and misleading correlations. - Provide marked-up screenshots and actionable developer-level feedback. - Build a ranked list of additional reliability signals/KPIs required for RCFA. I will reference the exact tag names, timestamps, alarm events and work-order fields in my findings so your developers can implement the changes without additional interpretation. Best regards,

@gzarali

My relevant experience is listed under Maintenance & Repair Engineer at Form Foam Sunger (October 2013-May 2016): diagnosing equipment faults, coordinating daily maintenance work orders and using root-cause analysis for recurring problems. I now work in mechanical building systems and technical documentation. I am offering a mechanical maintenance workflow review of your supplied simulated cases, rather than software administration or implementation of PI, SAP or Maximo integrations. For one initial incident, I would compare the displayed evidence with the supplied chronology, document missing context and flag conclusions that are not supported by the records. You would receive a concise findings report, annotated screenshots and prioritised requests for additional signals. Each finding would cite the actual tag or work-order field from your dataset and explain the expected behaviour so your developer can act on it. The review would distinguish mechanical observations from questions requiring a plant operator or platform specialist. My rate is USD 21/hour. I suggest agreeing a 5-hour first-case review to establish fit before expanding to the full pilot. Can you share a sample incident and the expected review depth? Gokay

@sakshis576

Hello As an experienced industrial automation engineer deeply familiar with PLC and SCADA systems, I am uniquely positioned to offer invaluable insights into your AI-powered root-cause investigation workspace. My day-to-day work involves navigating AVEVA PI, DCS/SCADA alarm logs and other maintenance data sources, just like the ones your system aims to integrate. I can emulate real-world failures, identify any potential bottlenecks in your existing workflows, and provide you with actionable suggestions for improvement. My deep understanding of the context-specific tags and fields involved makes my feedback detailed enough to ensure changes can be implemented without further queries. In addition to my proficiency in navigating data-rich environments, I bring a critical eye developed through years of chasing down bad actors across multiple systems. This has taught me how to analyze complex scenarios under pressure while maintaining a strong focus on accuracy. Tasking me with this project ensures not just an expert review of your workspace but also input drawn from real-life experience in plant operations.

@hayteekeys

HI, KINDLY READ THROUGH MY PROPOSAL I will partner with you as an Industrial Reliability / RCFA specialist to review investigation workflows, test simulated plant failure datasets, and validate your AI-powered evidence collection workspace for critical assets. MY APPROACH
 ✅ Review of current root-cause investigation workflows used by maintenance and reliability teams
 ✅ Testing of simulated failure datasets (pumps, compressors, etc.) against the automated workspace
 ✅ Validation of evidence collection from historians, DCS/SCADA alarms, work orders and shift notes
 ✅ Practical feedback on usability, gaps and industrial relevance
 ✅ Clear recommendations to improve investigation speed and accuracy PROJECT EXPERIENCE • Led multiple RCFA investigations on centrifugal pumps and rotating equipment, integrating historian data, alarm logs and work-order history to identify root causes and reduce mean time to resolution. DELIVERABLES • Workflow review notes and gap analysis • Test results on simulated failure datasets • Validation feedback and improvement recommendations QUESTIONS 1 Preferred format for the simulated datasets and any specific asset types to prioritise? 2 Expected time commitment per week and project duration? 3 Will access to the workspace be provided under NDA? Ready to start as soon as the pilot scope and access details are confirmed.

@mahmoudralizadeh

Hi there, As a Mechanical Design Engineer experienced in fluid systems (centrifugal pumps, compressors, and heat exchangers), thermal-fluid dynamics, and industrial troubleshooting, I can provide actionable, plant-level feedback to validate your AI RCFA workspace. Having analyzed complex machinery failure modes, thermal-fluid behavior, and sensor data integration, I understand how critical assets fail under real operating conditions and how scattered PI tags or alarm storms can mask root causes. How I will assist your project: • Deep-Dive Workflow Audit: Replicate real-world RCFA methodologies on your pump, compressor, and heat exchanger failure scenarios. • Data & Logic Validation: Identify missing context, false correlations, and gaps between AVEVA PI time-series tags, SCADA alarms, and Maximo/SAP work orders. • Actionable Feedback: Provide exact tag/WO field references, marked-up UI/UX screenshots, and precise developer-ready improvement notes. • Reliability KPIs: Supply a ranked list of required operational signals and KPIs essential for signing off a root-cause investigation. I am ready to review your simulated plant datasets and test the investigation workspace immediately. Looking forward to helping you refine a tool that truly serves plant reliability teams. Best regards

@ahmed4499

Hello Sir as i am computer and automation engineer and certified LabVIEW architect and embedded developer with 20 years experience in this field so may i can help you please , thanks

@danijelr1

Hi , Good evening! I’ve carefully checked your requirements and really interested in this job. I’m a skillful mechanical engineer by using 3D CAD Software. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in Solidworks, AutoCAD, SAP, Mechanical Engineering, PLC & SCADA, Chemical Engineering and Asset Tagging and several 3D CAD Software. I have rich experienced in Industrial & Mechanical design. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Talk to you soon

@mobasherreza10

With my background as a Mechanical Engineer and expertise with SAP, I can confidently say that I am the ideal candidate for your Industrial Reliability / RCFA Specialist project. Having worked on numerous projects requiring meticulous data analysis and complex problem-solving, I am intimately familiar with the challenges you aim to overcome in your infrastructure. My proficiency extends beyond my technical understanding; it lies in my ability to think like a real-world plant team. The invaluable experience of chasing bad actors across various platforms including PI tags, SCADA logs, and Maximo backlogs has equipped me with the tenacity to unearth deeply embedded issues. This skill is not easily transferable and makes me an excellent fit for your project's goals: finding gaps, inaccuracies, and suggesting robust improvements.

@Aaleen110

The risk is siloed data and the time lost hunting evidence across AVEVA PI, alarm logs, SAP PM, and shift notes. I'll build out the automated evidence collection for centrifugal pumps, booster compressors, and heat exchangers, mapping PI historian data and SCADA alarms directly into the investigation workspace. You will see the root-cause analysis data appear as you step through the guided investigation flow. Where exactly do you store the shift notes data that needs to be ingested? I need your confirmation to start building the data mapping. This is backed by a 5.0 rating across 10 reviews on here and Preferred Freelancer status.

@michela542

Hello, As a Full-Stack AI Engineer with an extensive understanding of automation and SaaS platforms, I believe I can bring tremendous value as your Industrial Reliability / Maintenance Engineer. Combining my wide-ranging experience with my in-depth knowledge of AI technologies, I am highly adept at developing effective and efficient systems, making me the perfect candidate to assist you with your AI-powered root-cause investigation workspace. Throughout my career, I've had the privilege of building reliable AI SaaS products for various domains including human language processing models, knowledge base assistants, and multi-agent systems, a skillset that goes hand-in-hand with your unique project requirement. Moreover, having dived deep into the mechanics of industries such as SAP PM and IBM Maximo during my engagement with similar projects in the past, I've developed the ability to perfectly simulate real-world plant failure scenarios and propose insightful improvement suggestions. I work passionately, and follow a meticulous approach that ensures not only meeting your specific expectations but also offering relevant end-to-end solutions. Let's work together to identify any shortcomings in your workspace's workflows in real-life industrial settings. My practical expertise backed by my UI/UX skills will undoubtedly enable me to effectively communicate issues and provide detailed feedback that can be implemented directly by your deve Thanks!

@revival786

As an experienced freelancer in Mechanical Engineering, I'm uniquely qualified to help you with your AI-powered root-cause investigation workspace. While my profile may seem unrelated at first, my 16+ years of technical and critical thinking in Engineering have prepared me for the nitty-gritty details of your project and its deliverables. I understand the frustrating task of siloed data hunting and how it can cost engineers valuable time during malfunction events. As an Industrial Reliability/Maintenance Engineer by experience and freelancer by choice, I've chased down bad actors across various systems just like yours including PI tags, SCADA logs, and work order backlogs. My skills extend beyond simply the mechanical engineering tasks at hand, embracing a wider scope of problem solving with precision along with my knack for identifying gaps and suggesting improvement areas. I anticipate your needs for precise documentation and actionable feedback from the acceptance criteria stipulated and I am delighted that they are characteristics I cannot only offer, but exemplify in every project I undertake. Therefore, if hired for this project, I will ensure that your workflows are tested with realistic models based on actual events. My detailed report will point out flaws and suggest improvements as well as rank the importance of additional data signals or reliability KPIs before signing off on an RCFA.

@garyd38

TOOLS/METHODS: RCFA facilitation (5-Whys, Ishikawa, time-line reconstruction), reliability/KPI mapping, PI-tag evidence tracing, DCS/SCADA alarm forensics, SAP PM/Maximo work-order field audits, UI workflow reviews with annotated screen marks, and failure-dataset replay/simulation. I’ll use a structured evidence matrix (tag→event→work order→resolution) to test your AI evidence collection against how teams actually investigate centrifugal pumps, booster compressors, and heat exchangers under pressure. I’ll walk your guided flow using your time-series, alarm storms, and maintenance histories, then replicate a real shift’s troubleshooting path: identify the first credible deviation, separate alarms from root causes, and validate correlation logic (e.g., pump run status vs vibration/current/temperatures; compressor suction/discharge pressure swings; exchanger fouling indicators).