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Air India Crash: Expert Analysis Dismisses TCMA Failure, Raises New Questions

September 7, 2025By ePlane AI
Air India Crash: Expert Analysis Dismisses TCMA Failure, Raises New Questions
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Air India
Boeing 787
Accident Investigation

Air India Crash: Expert Analysis Dismisses TCMA Failure, Raises New Questions

Challenging the Official Narrative

A recent video analysis by aviation expert Vikram V, known online as Wyngx, has cast doubt on the preliminary findings of the Aircraft Accident Investigation Bureau (AAIB) regarding the Air India AI-171 crash. Utilizing advanced 3D modeling and a meticulous frame-by-frame examination of publicly available footage, Vikram reconstructs the final moments of the Boeing 787, challenging both widely accepted theories and the official account of the incident.

With over a decade of experience in aviation safety and a reputation for detailed cinematic reconstructions, Vikram’s latest work not only disputes the AAIB’s initial conclusions but also raises broader concerns about pilot fatigue amid increasing travel demand and the sufficiency of existing safety protocols.

Key Issues Raised by the Simulation

Vikram’s analysis focuses on three critical points, notably dismissing the theory of a Thrust Control Malfunction (TCMA) and the possibility of an accidental fuel switch cut-off. The first question addresses how the aircraft continued to accelerate after the reported fuel cut-off. According to the AAIB’s preliminary report, the takeoff roll began at 1:37:37 pm, with the aircraft reaching V1 speed of 153 knots and peaking at 180 knots by 1:38:42 pm. The report states that immediately after reaching this speed, the engine fuel switches were moved to the cut-off position. However, Vikram’s simulation reveals that the aircraft continued to gain speed for an additional five seconds, reaching 196 knots—contradicting expectations that speed would stabilize or decline once the engines were shut down.

Secondly, the video questions whether the fuel switches were actually moved from the run to the cut-off position. While cockpit audio indicates that the pilots discussed the switches, there is no definitive evidence confirming that the action was taken. This ambiguity raises significant doubts about the sequence of events and the reliability of cockpit procedures under high-stress conditions.

Finally, the investigation has reignited debate over the role of cockpit video recordings in aviation safety inquiries. Industry experts argue that such recordings could provide crucial clarity in cases where audio and flight data logs fail to offer conclusive answers, potentially enhancing transparency and accuracy in accident analysis.

Broader Industry Implications and Ongoing Responses

The AI-171 crash has intensified scrutiny of pilot fatigue, particularly as airlines contend with rising passenger demand and increasingly compressed schedules. The incident has also triggered market concerns, including the prospect of higher insurance premiums and a renewed emphasis on safety standards across the industry. Competitors are reportedly reassessing their own safety protocols and pilot training programs in response to the tragedy.

Meanwhile, families of the victims have engaged a US law firm to explore legal avenues and advocate for a more comprehensive investigation. As the official inquiry proceeds, Vikram’s analysis highlights the urgent need for greater transparency and technological advancements in aviation safety. The questions raised by his simulation expose gaps in the current investigation and underscore the importance of robust data collection—including the potential use of cockpit video recordings—in preventing future disasters.

Comments
  • T

    Ted Ralstonpositioj

    171 was perfectly normal up until time :42 or :43 when both Fuel switches were selected to Cutoff. All actions by engines, airplane, and RAT after tha time are caused soley by that 'cutoff' event. There were no failures anywhere in the numerous systems; all perfrmed as designed. There is no contribution by the numerous theories spilt all over the Iternet...there is no massive electrical failure, no APU battery fire, no engine failure, no TCMA involvement, no dragging brakes, no deeply-seated software glitches, no fuel switch failure, not pilot chair slipping backward pulling the throttels to idle. The CCTV, the Engines, the Airplane and RAT, and the IIAB Prelim Report all tell the same story. If we had access, we would find the FADEC data archives adding to that story. Note the way the IIAB report is cleverly written: bare-bone facfs that are not going to have to be changed, with a style the discusses only exceptions to the normal act of dispatch and takeoff, after settig the stage with the parameters of the flight. The purpose of the report is not to answer all of our questions or educate us, it is to outline the direction of their analysis. The myriad streaming data and CVR voice marks will be reserved for the final report. It is up to us, in the meantime, to fill in the gaps between the initiation of flight and what took place around :41 following normal training - the logical argument that with no remarks made or exceptoons noted in the report, the steps prior to :41 were normal. That tells us a lot in itself. It is worth noting that airplane operatiosn are highly structured, such that the logical argument abovd can be made with confidence. There is one note that must be made as it relates to mis-understanding on airspeeds after :41...airspeeds in the IIAB Report are given in IAS terms - Indicated airspeed, or the values calculagted by the Airspeed Module, which is a simple calculation based on the Pitot or Total Pressure in the airstream, and the Static or ambient pressure of the air mass. At high angles of attack such as at rotation, IAS reads falsely high as the airflow accelerates around the ovate nose, where the static sensors are located. The airplane air data module adjusts the reported IAS numbers by a compensaton term derived from the angle of attack indicators; the resulting Calibrated Airspeed (CAS) is presented to the crew and to the autopilot. Thus that apparently sudden acceleration from 155 at Vr to 180 at :42, just 7 seconds larger is in uncompensated AIS terms; the accompanying sudden 10-12 angle rotation occurring at that time would induce a heavy static pressure variation that needs to be accounted. It is apparent that the 180 IAS must be 162 CAS, or a -18 kt correction. The final report should give the CAS data as well - it is in the EAFR data stream. We know that it is 162 - because that is the planned V2 speed, which occurs at the end of rotation if the pilot rotates to the angle of pitch commanded by the pitch bars on PFD. We can check another way - the acceleration rate between two points we are given - 153 V1 and 155 VR - is 1 kt/sec. Extending this rate to the next 7 seconds to the :42 point quoted for the 180 kt - is 7 kt, or 155+7 = 162. It closes nicely. After the fuel chop at :42, all meaningful thrust would have ended 2 second later...it is not physically possible to gain more than 1-2 kt from the 162 point. And indeed the report confirms this, quoting in IAS terms. Furthermore, it is clear that the pilot flying (FO, as has been reported) was holding steady on the longitudinal pitch - or we would see relatively large swings in AIS, influenced as it is by angle of attack. A second confirmation of 162 CAS as the maximum speed reached is in the very purpose of holding to the target V2 - 162 in this case - to be at the airspeed for maximum climb performance if one engine were to fail. So what do we have, all taken together? By lack of flight crew remark, we have good dispatch data, good pushback, good engine start (eg the fuel switches were working just fine), good backtaxi, good takeoff clearance and roll. Critically, we had good 80kt 'system status check' which included takeoff acceleration, and good V1 or ;engine status check'. As per paragraph above, we had good rotation , hit the right speed, and pilot held steadyhand. Nowhere throughut any of the checkpoints up to rotation is there any remark about anything being out of order or off-normal. The first indicationis the digital position indication in the fuel switches going to Cutoff, and rigth after that the engines confirm that the DC side of the switches was in the Off position as well - as they began decelerating at an abnormal rate, 2 or 3 times the normal rollback rate cause by throttle. This extreme decel rate triggers the Engine Failure logic in the FADEC, a calculation based on abnormal simultaneous sudden decline in engine parameters. FADEC sets the ENG FAIL fault message on the data stream going to the to the airplane within 0.2 sec of the fuel chop. The engines have not technically failed -they are intact and functional, just have no fuel going into them. We know they are functional since they re-lit 10 seconds later when fuel and ignition were restored. The extreme deceleration caused by fuel-off at takeoff power looks to the FADEC sensors just like an engine failue, so the ENG FAIL message gets set. This is important - as no thrust occurs whether the engine has truly failed - so to the airplane, the effect is the same. At takeoff conditions, 2 @ ENG FAIL messages will trigger the airplane to deploy the RAT. This initiates within 0.5 second. Note that it is a FADEC signal that causes the airplane to deploy the RAT; FADEC (which is part of the engine) can not directly command any airplane action . So what we end up with is all within 1-2 seconds of :41.,, a) fuel off one engine; b) fuel off the other engine; ; c) extreme decelertion and drop in thrust; d) ENG FAIL signal from FADEC to airplane; e) RAT deployment initiated; e) APU start sequence initiated; pilot still holding V2 pitch attitude, even as airspeed starts dropping off. All in 2 seocnds. All factors were direct result of fuel switches set to Cutoff; no other faults were present. The restart attempt 6 and 10 seconds later proves that the DC buss was functioning correctly, as the fuel valves opened; proves also that the AC power (provided by RAT at this point) was in good shape, providihg AC to the engine ignitors. And this proves that FADECs were working properly, providing AC to the ignitors, scheduling compressor bleeds and VSV to enable the starts. Ther engine that had been allowed to decelerate an additioal 4 seconds was so far down in N2 by then, into the RPM range where Starter Assist was required - but starters require Ground Power, APU, or opposite engine generator power, none of which were available. The fuel switch position indications, now reporting Run positioj, proves that the Digital side of the switches was working; and proves that TCMA was not a factor - for 3 reasons. The switch positions properly indicated as just stated, which means that the fuel switches caused the fuel to flow; and TCMA if it had operated would require MX action to reset it; and the Weight on Wheels switches had moved during to Air, during rotation, which depowers TCMA. Whew! Long explanation. But critcal. It was just another day at hte office - everything just fine as in the 3000 accumuted takeoffs this crew had been party to; until someone pulled and reset the fuel switches. At that singular moment in time - the few seconds after rotation - then and only then, the well-calculated effect was fatal.

  • S

    S Mehta

    For someone who "has a decade of aviation experience" he's missed a lot. Please see the comments on his YouTube video and you'll know.

  • E

    Erik Maxwell

    I have seen the Simulation video. The production is excellent, but it does not faithfully reproduce the tragic flight, as it yields different "data" from what is in the AAIB Preliminary Report. The latter must be taken as gospel until further information becomes available.

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Qatar Airways Wins Best Airline App Award at World Aviation Festival 2025

Qatar Airways Wins Best Airline App Award at World Aviation Festival 2025

Qatar Airways Wins Best Airline App Award at World Aviation Festival 2025 Qatar Airways has been honored with the prestigious title of ‘Best Airline App 2025’ at the World Aviation Festival held in Doha. This accolade underscores the airline’s leadership in digital innovation within the aviation and tourism sectors. The award-winning app is celebrated for its seamless user experience and integration of AI-powered features, fundamentally transforming how travelers plan, book, and manage their journeys. Setting a New Benchmark in Digital Travel The recognition was bestowed during the festival’s prominent ‘Battle of the Airlines Apps’ competition, where Qatar Airways distinguished itself through a combination of sleek design, intuitive navigation, and comprehensive in-app functionalities. These features simplify every stage of travel, from initial planning to post-flight management. The judging panel, composed of both travelers and industry experts, commended the app’s modern interface and traveler-centric approach, highlighting its ability to deliver a smooth and personalized experience across more than 170 global destinations. Judged by Travelers and Industry Experts The selection process began with nominations from travelers worldwide, which were then narrowed down to a shortlist of five leading airline apps. A professional jury evaluated the finalists based on criteria including user experience, mobile services, and digital innovation. Qatar Airways’ app stood out for its real-time notifications, effortless itinerary management, and features designed to facilitate stress-free travel. This recognition further solidifies the airline’s position at the forefront of aviation technology. Industry Impact and Competitive Response Qatar Airways’ achievement arrives amid a broader digital transformation sweeping the aviation industry. The award not only reflects the airline’s sustained investment in technology but also establishes a global standard that competitors are expected to emulate. Industry analysts suggest that this milestone may encourage rival carriers to enhance their digital platforms. For instance, Cathay Pacific Airways, recently named the World’s Best Economy Class Airline for 2025, could leverage its accolade to bolster its market standing and accelerate app innovation. As airlines strive to meet evolving customer expectations, Qatar Airways’ success is poised to drive significant advancements in digital travel experiences. A Reimagined Travel Experience More than a simple booking tool, the Qatar Airways app functions as a comprehensive digital ecosystem designed to empower travelers throughout their journey. Users can manage itineraries, receive timely flight updates, and access personalized services such as instant or automated refunds for frequent flyers. The app’s emphasis on comfort, convenience, and customization distinguishes it in a competitive market, offering a travel experience tailored to individual preferences. Looking Ahead Qatar Airways’ recognition at the World Aviation Festival 2025 signals a pivotal shift toward smarter, more connected travel. The airline’s accomplishment not only elevates the standard for digital excellence but also serves as a catalyst for industry-wide innovation, ensuring that travelers around the world benefit from increasingly seamless and personalized journeys.
Aeroitalia and IBS Software Collaborate to Launch AI-Driven iFlight Core Aviation System

Aeroitalia and IBS Software Collaborate to Launch AI-Driven iFlight Core Aviation System

Aeroitalia and IBS Software Collaborate to Launch AI-Driven iFlight Core Aviation System Aeroitalia has entered into a strategic partnership with IBS Software to deploy iFlight Core, an advanced AI-driven aviation management platform aimed at revolutionizing the airline’s operations and crew management. This collaboration marks a pivotal move in modernizing Aeroitalia’s IT infrastructure by replacing outdated legacy systems with a comprehensive, cloud-based solution that harnesses artificial intelligence and real-time data analytics. Initiated in October 2025 and scheduled for completion by the end of 2026, the project positions Aeroitalia among the first European carriers to implement AI-powered operational management on a large scale. Through the integration of iFlight Core, the airline seeks to streamline its processes, enhance decision-making capabilities, and sustain a competitive advantage in the rapidly evolving aviation sector. Transforming Crew Management and Operations At the heart of iFlight Core lies a sophisticated crew planning suite featuring advanced pairing and rostering tools designed to optimize crew scheduling, reduce disruptions, and minimize human error—persistent challenges within aviation operations. Leveraging AI-driven scheduling and real-time analytics, Aeroitalia will be able to assign crew members based on up-to-date data, resulting in more balanced workloads and improved operational efficiency. The system also enhances transparency regarding crew availability, facilitating more accurate planning and effective workforce management. These improvements are anticipated to increase satisfaction among pilots, cabin crew, and ground staff by delivering fairer schedules and alleviating administrative burdens. Scalable, Cloud-Based Innovation Designed specifically for small to medium-sized airlines, iFlight Core offers the scalability and flexibility necessary to support Aeroitalia’s planned fleet expansion. Its robust cloud infrastructure enables the platform to grow in tandem with the airline, thereby eliminating the need for costly system overhauls. Furthermore, the system’s API framework ensures seamless integration with both existing and future technologies, underpinning Aeroitalia’s commitment to ongoing innovation and collaboration within the aviation ecosystem. Navigating Challenges and Industry Dynamics Despite the clear advantages of AI-driven management, Aeroitalia and IBS Software face several challenges during the rollout of iFlight Core. Integrating advanced AI technology into existing aviation infrastructure demands meticulous planning to ensure compatibility and minimize operational disruptions. Compliance with stringent aviation regulations remains paramount, alongside addressing potential resistance from pilots and crew members accustomed to traditional systems. Market responses to this technological advancement may include skepticism from stakeholders wary of rapid change. Concurrently, competitors are expected to accelerate their own AI-driven initiatives, intensifying competition among aviation software providers and driving broader industry innovation. Looking Ahead As Aeroitalia advances with the implementation of iFlight Core, the airline is set to establish a new benchmark for operational efficiency and crew management within European aviation. By embracing AI and cloud-based technologies, Aeroitalia not only enhances its internal operations but also contributes significantly to the ongoing digital transformation of the airline industry.
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