Outcome-based Fault Detection – BuildingIQ

Outcome-based Fault Detection

Data-based Validation and Accountability

Human expertise. Transparency. No more guessing.

Outcome-based Fault Detection (OFD) addresses the shortcomings of today's common fault detection and diagnostic (FDD) services. With the OFD service, BuildingIQ not only remedies these shortcomings, it also extends the category by incorporating prioritization of faults and issues, ticketing work for prioritized faults with full client override capabilities, and data-based validation of the effectiveness of work performed into one comprehensive service.

Streamline and Act

Outcome-based Fault Detection (OFD) is flexible enough to support all of your buildings —whether they have poor quality data or have unique system requirements— to get to the heart of why today’s fault detection solutions don’t deliver what your facilities team really needs to excel.
  • Focused on outcomes to see what is driving energy consumption, regardless of its source instead of a library of inflexible rules
  • Flexible enough to support clients with poor quality data and unique systems
  • Eliminates the deluge of daily faults that are largely ignored by building operators due to lack of resources
  • Cuts out the high cost of defining and writing rules that identify faults
  • Adds a cloud-based network operations center to translate faults into diagnoses, and then into concrete actions and manageable planning
  • Transforms facilities teams into proactive problem solvers that keep operating and energy costs down and tenants comfortable
  • Empowers facilities teams to better operate buildings in the face of poor data and the inevitable undocumented tweaks, retrofits and overrides intrinsic in a living building system

Magic Happens In The Cloud

Fault detection systems of yesterday inundate facilities teams with data and guesswork. That’s why they’re mostly ignored. But they’re not entirely useless. BuildingIQ’s OFD service springboards off basic fault detection and diagnostic (FDD) solutions by layering on intelligence —in the cloud— based on cutting edge data science. And because it’s science, the tools we use are always evolving and improving.


Here are some that we’re using today:

Influence Mapping

Our operators use a tunable map to identify which pieces of equipment have the most impact on your building’s energy consumption. To dive into root causes we can account for changing weather patterns and focus on how each point is influenced by operational and occupant changes.

Why it matters

Most existing FDD solutions can only deliver a rough guess of the associated costs of ignoring a fault, but can’t begin to know why you should care. Influence mapping uncovers real priorities based on what has the most impact on your building. This lets us move beyond a reactive alarm to symptoms of the problem, and instead identify the deeper root cause driving complex system responses.

Correlation Tables

Using mathematical models, OFD informs our operators of the strongest relationships between the data we’re observing. Therefore, faults become indicators instead and our operators become diagnosticians. So you don’t have to.

One Class Classification (OCC)

We use support vector machines (SVM) for anomaly detection given a set of samples. This tool "learns" normal operation and usage patterns and flags any deviations from this baseline. Our building experts help guide training of the machine —taking initial anomaly detection results and setting the right parameters— to ensure it is correct. When applied it will trigger the required positive/negative feedback. As we apply right/wrong during the training process for OCC, we effectively tune parameters to capture the correct/incorrect examples.

The result of applying OCC is a non-rules-based method for anomaly detection that augments traditional rules-based detection. Meaning, with OFD you don’t have to know what you’re looking for in advance.

Features & Benefits


  • Multi-layered approach to fault and anomaly detection using industry standard rules, innovative machine learning, and flexible manual review.
  • End-to-end process spanning from data ingestion to issue resolution and M&V reduces handover issues and ensures that identified issues are not only actioned but also produce results.
  • Flexible prioritization informed by both quantitative and qualitative impacts, tailored to the site’s needs.
  • Implementation support to plan and schedule projects using “triggers” or opportunities to bundle projects with existing retrofits, monthly control sub service visits or plan in upcoming budget cycles.
  • Convenient communication through mobile ticket tracking, monthly reports, and regular meetings with support team.
  • Tracking issue-level savings to confirm resolution and persistence.
  • IPMVP-level Measurement & Verification to demonstrate ROI.


  • Enables under-resourced Facilities Management teams to have BuildingIQ engineers as an extension of their own team and target resources where they can make the most impact.
  • Provides a proactive approach to planning predictive maintenance and fully utilizing triggers such as change of use, retrofits or equipment replacement (capital project opportunities).
  • Finds deeper, multi-system issues that affect building energy or performance. Works with limited data and helps clients build enhanced data pipelines to better inform and control.
  • Builds a foundation for enhanced control strategies.
  • Fully utilizes service contracts through targeted work order lists for site visits.

The OFD Pipeline - Actionable Intelligence

BuildingIQ’s OFD service works on the cadence of detecting, prioritizing, and validating system faults, most of which would go undetected without the deep analytical insights the platform affords.

Multi-layered Fault Detection

Combines manual oversight with three layers of autmated fault detection:

  1. Human monitoring
  2. Industry standard rules
  3. Advanced machine learning analytics

Intelligent Prioritization

  • Influence algorithms augment human expertise for prioritization
  • Qualitative analysis determines occupant sensitivity or reputational impact for actions
  • Quantify energy, comfort, and equipment impact
  • Leverage client knowledge
  • Output actionable work tickets

Implementation Support

  • Building engineers work closely with the team to troubleshoot issues
  • Account for budget cycles, upcoming retrofits, space use change or equipment upgrades to prioritize and plan work to capitalize on these opportunities


  • Completed tickets are reviewed by our operators to validate resolution
  • Years of data retention enable historical comparisons —especially useful for long-cycle-time issues

Better Outcomes

BuildingIQ tracks energy savings associated with each resolved issue and monitors whole building energy consumption. We use this information to provide building-level energy savings to operators and facilities professionals. This is an IPMVP- (International Performance Measurement and Verification Protocol) compliant validation of their energy control measures and modifications that helps them track year-over-year energy savings and ROI.
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